Soundscape and Psychoacoustics Using the resources for environmental noise protection. Standards in Psychoacoustics

Size: px
Start display at page:

Download "Soundscape and Psychoacoustics Using the resources for environmental noise protection. Standards in Psychoacoustics"

Transcription

1 Soundscape and Psychoacoustics Using the resources for environmental noise protection Standards in Psychoacoustics Roland Sottek HEAD acoustics GmbH Satellite symposium on August 25 and 26, Introduction The evaluation and design of noise is becoming increasingly important. Different kind of sources contribute to the noise: Broadband and narrowband noises, tonal components, modulated sounds. The perception is often predicted by psychoacoustic parameters in order to reduce time-consuming listening tests. 2 1

2 L/dB[SPL] L/dB[SPL] L/dB[SPL] Why do we need psychoacoustics? Time data and 3 rd octave spectrum of an electrical motor and a Mozart concert Almost identical levels and 3 rd octave spectra 3 Different time structures Almost identical 3 rd octave spectra and thus identical sound pressure levels and stationary loudness values (calculation from 3 rd octave spectra) Clearly audible difference also with respect to loudness because of different time structures 3 rd octave spectra Noise f/hz k Impulse f/hz k Diesel f/hz k

3 Same sound pressure levels different loudness values 5 Modulated signals, tone complexes sound frequency / Hz modulationrate / Hz fluctuation roughness &

4 frequency Perception and physical measurement Optical illusion 7 Acoustical illusion ( signal-estimation ) time time pulsation thresholds 9 4

5 Acoustics vs. psychoacoustics (1) In acoustics the sound source is in the center of focus: What signals? What are the amplitudes? What vibrations / frequencies? What energy? Psychoacoustics provides the recipient (the people) in the center of focus : What loudness, sharpness, roughness, tonality, annoyance are perceived? What are the expectations, attitudes, experiences of those affected? 10 Acoustics vs. psychoacoustics (2) In acoustics, the entire sound event is often reduced to a simple variable in the form of A-weighted sound pressure level db (A). A-weighting considers in a highly simplified manner, the frequencydependent sensitivity of human hearing; low-frequency tones are perceived softer as high-frequency tones at the same sound pressure level. Psychoacoustics describes the auditory sensation of a human being as a complex function of the signal composition, the temporal patterns, the interaction of different frequencies. Here cognitive and contextual aspects are very important: attitude to noise, the information content and the cause of the noise. 11 5

6 What is psychoacoustics? Psychoacoustics deals with the sound perception of human hearing (sound recording, analysis in the inner ear, processing and analysis in the brain) and is engaged in addition also with the acoustically correct recording (e.g., with an artificial head measuring system) and the hearing-related analysis of sound events. Taking into account the cognitive aspects of noise psychoacoustics enables one to describe the transformation of a sound event in an auditory event. 12 6

7 Introduction to loudness 14 Definition of loudness Loudness is a psychological term used to describe the magnitude of an auditory sensation. * (Fletcher, Munson, 1933) Die Empfindungsgröße der zur Schallstärke gehörenden Intensitätsempfindung ist die Lautheit. ** (Zwicker, 1982) (The auditory sensation corresponding to the perceived sound intensity is loudness.) * FLETCHER, H. MUNSON, W.A. Loudness, its definition, measurement, and calculation. J. Acoust. Soc. Amer. 5, p. 82 (1933) ** ZWICKER, E. Psychoakustik. Hochschultext, Heidelberg, New York, Berlin, Springer Verlag, p. 79. (1982) Roland André Fiebig Sottek Internoise 2016, Hamburg Was & ist Berlin Lautheit? - Standards in Psychoacoustics 15 7

8 Influence of masking on loudness Sound Sound N 5 =10,6 sone GF N 5 =13,5 sone GF 16 Influence of duration on loudness (temporal integration) Tone pulse N max =8,5 sone Tone pulse N max =14,0 sone Tone pulse N max =16,4 sone 17 8

9 Factors influencing loudness Frequency Tones with the same sound pressure level but different frequency are not perceived as equal loud. Spectral composition Sounds with different spectral composition but the same sound pressure level are not perceived equally loud, e.g. broadband sounds are perceived louder than narrowband sounds at the same level. Sound pressure level Changes in sound pressure level do not lead to the same degree to loudness changes. Simultaneous masking At the same level, loudness varies by different masking effects in the spectral domain. Backward and forward masking The temporal structure is influencing the perceived loudness (test tone is presented before or after the masker). Signal duration Loudness sensation increases with signal duration up to a duration of 1 s. 18 Critical band concept Critical bandwidth can be considered as the bandwidth of auditory filters. Critical bandwidth is constant below 500 Hz and is about 20 % of the center frequency at higher frequencies. Third octave filters have a similar bandwidth, thus they can "be considered as a useful approach to auditory filters * The concept of critical bands is for many auditory sensations of particular importance. db(a) does not consider critical bands and masking! *FASTL, H. Psychoakustische Methoden, in: Kalivoda, M.T. und Steiner (Hrsg.). Taschenbuch der Angewandten Psychoakustik, Wien, New York, Springer (1998) 19 9

10 Loudness standards 20 Standardization of psychoacoustic parameters (1) Loudness evaluation has become a central focus for assuring better consideration of sound intensity phenomena than frequency-weighted levels like db(a). Different loudness standards available for stationary sounds: ISO 532:1975 section 1 (method A) [Stevens method] ISO 532:1975 section 2 (method B) [Zwicker method] ANSI S3.4:2007 [Moore/Glasberg method] DIN 45631:1991 [Zwicker method] Loudness standard available for time-varying sounds: DIN 45631/A1:2010 [Zwicker method] WG 9 of ISO TC43 (Acoustics) has worked on (available end of 2016) ISO Methods for calculating loudness Part 1: Zwicker method for stationary and time-varying sound based on DIN and ISO Methods for calculating loudness Part 2: Moore/Glasberg method for stationary sounds based on ANSI S3.4:

11 History of loudness standardization (Zwicker method) DIN 45631: 1967 stationary loudness ISO 532B : 1975 stationary loudness DIN 45631: 1991 stationary loudness widely used! corrections to match the ISO equal loudness contours (ISO 226:1987) DIN 45631/A1: 2010 time-varying loudness widely used! ISO 532-1: 2016 stationary and time-varying loudness based on DIN 45631, but with test implementation (source code in appendix), detailed description from time signal to (specific) loudness vs. time function; nearly identical results can be obtained by ISO and DIN or DIN 45631/A1 22 History of loudness standardization (Moore/Glasberg method) ANSI S3.4: 2007 stationary loudness ISO 532-2: 2016 stationary loudness, based on ANSI S3.4 The ISO method does not fully describe obtaining a result from time-signals, only from described levels versus frequencies. User interaction is required: description of tones, noise bands,! Moore/Glasberg made the source code of their loudness model available as part of ISO A time-varying loudness model is planned for a later update

12 Standardization of psychoacoustic parameters (2) Sharpness standard (the weighted first moment of the critical-band rate distribution of specific loudness, only stationary signals): DIN (2009) Tonality standards: ECMA-74 (IT products), DIN Standardization of roughness is currently being pursued in a DIN working group. Following: Overview of loudness calculation procedures Sharpness calculation procedure Tonality calculation procedure Roughness model discussed as one option in the DIN working group Blind source separation 24 12

13 Loudness calculation procedures 26 Loudness calculation procedures band pass filter bank temporal effects and post-masking (DIN 45631/A1) 3 rd Oct. (DIN) LP N NL g 1 p(t) FF Bark (Zwicker) LP N NL g 2 DF ERB (ANSI) LP N NL g k + LP N(t)? LP N NL g K 27 13

14 Comparison: ANSI - DIN Choice of sound field Band pass filter bank Envelope formation ANSI S DIN filters, constant bandwidth on ERB scale Free or diffuse 28 third-octave filters, approx. 24 Bark bands Rectifying and low-pass filtering Frequency weighting Strong attenuation Less attenuation Nonlinearity Square root law between sound pressure and loudness (highly simplified) Opposite effects! 28 Equal-loudness contours (60 phon) Equal-loudness contours (60 phon): IS0 226 new/old, DIN 45631, ANSI S db ISO 226: 2003 ISO 226: 1987 DIN ANSI S L/dB[SPL] f/hz k Tones are judged much softer by ANSI S than DIN 45631! GENUIT, K., SOTTEK, R. AND FIEBIG, A., Comparison of Loudness Calculation Procedures in the Context of Different Practical Applications, Internoise 2009, Ottawa, Canada (2009)

15 Input signal Loudness of technical sounds sound source electric motor wind noise vehicle noise at constant speed power seat park (New York) electric screwdriver electric saw exhaust system DIN sonegf 25.4 sonegf 24.1 sonegf 4.6 sonegf 18.7 sonegf 30.6 sonegf 23.2 sonegf 28.8 sonegf ANSI S sone 28.3 sone 25.7 sone 6.2 sone 23.8 sone 37.9 sone 29.8 sone 28.9 sone DIN and ANSI S standards provide significantly different loudness values in many cases! 30 Signal processing scheme: time-variant loudness (ISO 532-1) A 25 Hz f LP 1 L T 1 Weighting (table A.1) A 3rd octave f LP i L T i Weighting (table A.1) L CB 1 Level corrections a 0,DL DF, DL CB (tables A.2-A.5) Core loudness N C 1 (eq. A.1.1) NL Mapping to 24 critical bands (Bark) using table A.6 A 80 Hz f LP 6 L T 6 Weighting (table A.1) Start index z = 0.1 Bark. Step size = 0.1 Bark. Approximated core loudness, filter number: x = 1 A A 100 Hz 125 HZ f f LP 7 LP 8 L T 7 L T 8 Weighting (table A.1) Weighting (table A.1) L CB 2 Level corrections a 0,DL DF, DL CB (tables A.2-A.5) Core loudness N C 2 (eq. A.1.1) NL Specific loudness = core loudness x Calculation of slope loudness using table A.7 slope loudness > specific loudness false true Step to next CB: x(z) A A A 160 HZ 200 Hz 250 Hz f f f LP 9 LP 10 LP 11 L T 9 L T 10 L T 11 Weighting (table A.1) Weighting (table A.1) Weighting (table A.1) L CB 3 Level corrections a 0,DL DF, DL CB (tables A.2-A.5) Core loudness N C 3 (eq. A.1.1) NL true false Specific loudness = slope Specific loudness = core loudness loudness x true z < 24 z = z + step size false Summation of specific loudness A A 315 Hz 3rd octave f f LP 12 LP i L T 12 L T i L CB 4 L CB i Level corrections a 0,DL DF, DL CB (tables A.2-A.5) Level corrections a 0,DL DF, DL CB (tables A.2-A.5) Core loudness N C 4 (eq. A.1.1) Core loudness N C i (eq. A.1.1) NL NL t=3.5 ms LP 1 LP t=70 ms A HZ f LP 28 L T 28 L CB 20 Level corrections a 0,DL DF, DL CB (tables A.2-A.5) Core loudness N C 20 (eq. A.1.1) NL Applicaton to ISO method B Total loudness 31 15

16 ISO Reducing uncertainties in loudness calculation of time-variant sounds In addition to the loudness standard for stationary sounds: Specification of the third-octave filter bank Rectification and intensity averaging Non-linear temporal decay of the hearing system Temporal weighting of total loudness 32 Temporal weighting of total loudness t=3.5 ms LP 1 LP 2 t=70 ms Two 1 st order low-pass filters (time constants 3.5 ms and 70 ms) applied to sum of specific loudness values Simulates duration dependent behavior of loudness perception for short impulses: signal with duration of 10 ms is perceived as about half as loud as one with duration of 100 ms Total loudness is weighted sum (factors 0.47 and 0.53) of filtered signal 33 16

17 Representative value for time-variant loudness? N 5 percentile of loudness vs. time representation Considers peaks -> better than mean value Especially in the case of many events (cognitive effects) Even better: root mean cubed average of loudness vs. time function 39 Representative value for time-variant loudness? N 5 not suited for impulses: For this special case only: maximum value 40 17

18 Summary and conclusion (loudness calculation procedures) Application of ANSI S and DIN standards to technical sounds provides significantly different loudness values 3 factors influence strongly the results of loudness models Frequency weighting (differences in equal-loudness-level contours according to ISO 226:1985, 2003; especially a low frequencies; new listening tests for normal equal-loudness-level contours needed!) Frequency scale (Bark, ERB) Nonlinearity between sound pressure and spec. loudness Presentation of an updated ISO 532 standard Complete description of each signal processing step starting from wave form to specific or total loudness vs. time functions Code example for implementation of all algorithms will be available Reduction of uncertainties in loudness calculation 41 18

19 Sharpness calculation procedure 43 Sharpness Ratio of high frequency level to overall level (basic description). Center of gravity, on frequency scale of spectral envelope: the higher the c.g., the sharper the sound. Integration of specific loudness multiplied by a weighting function, divided by total loudness (hence, sharpness is levelindependent). Normalized to a reference sound, a narrow band of noise centered at 1 khz at a level of 60 db and a bandwidth of 160 Hz, which has an agreed value of 1 acum

20 Calculation of sharpness (DIN 45692) S k z 24Bark N'( z) g( z) z /Bark dz z 0 z 24Bark N'( z) dz z 0 acum 1 g( z) 0,42 z / Bark 15,8 0,15 e 0,85 z 15,8Bark for z 15,8Bark Solid line: weighting function according to DIN (see above) Dashed line: weighting function according to v. Bismarck Weighting function according to Aures depends on loudness N! 45 Comparison of sharpness methods: von Bismarck / Aures white noise Sharpness vs. Time white noise, 8 khz amplified Sharpness vs. Time 46 20

21 Influence of time structure on sharpness stream stream random 47 21

22 Tonality calculation procedure 49 Introduction to tonality Technical and natural sounds often contain prominent tonal components that can significantly influence the individual perception and evaluation of the sound event, increase annoyance. Tonality of sounds is increasingly important, even at very low levels regarding sound quality and sound design applications. Products may emit tonally-perceived noises due not only to pure tones but also to narrow noise bands, and to same-vicinity combinations of pure tones and narrow elevated noise bands. Established methods for tonality calculation such as (specific) prominence ratio and tone to noise ratio exhibit problems when compared to listening test data

23 Available tools for assessing audible tonality Tone-to-Noise Ratio (TNR: ECMA-74; Information Technology main use). Prominence Ratio (PR: ECMA-74; Information Technology main use). DIN tonality (German standard, 2006) Psychoacoustic tonality ( Tonality : Aures/Terhardt) 51 Perception of tonality Recent research results show a strong correlation between tonality perception and the partial loudness of tonal sound components. HANSEN, H., VERHEY, JL. AND WEBER, R. The Magnitude of Tonal Content. A Review, Acta Acustica united with Acustica, Vol. 97, pp (2011). HANSEN, H. AND WEBER, R. Zum Verhältnis von Tonhaltigkeit und der partiellen Lautheit der tonalen Komponenten in Rauschen, Deutsche Jahrestagung für Akustik, DAGA (2010). VERHEY, JL. AND, STEFANOWICZ, S. Binaurale Tonhaltigkeit, Deutsche Jahrestagung für Akustik, DAGA (2011). KAMP, F. Modellierung der Wahrnehmung tonaler Geräuschkomponenten (Modeling the perception of tonal sound components), Master thesis (2012)

24 Pure tones (f = 1 khz) of different level in pink noise category scale noise level = 60dB noise level = 70dB noise level = 80dB tone level [db] tone level [db] tone level [db] The listening test has shown, that mean value tonality median value tonality mean value loudness of tonal components median value loudness of tonal components the perceived tonality and the loudness of the tonal content are strongly correlated (for high noise levels) SOTTEK, Pegel des R., KAMP, Rauschsignals F. AND FIEBIG, [db] A. A new hearing model approach to tonality, Internoise 2013, Innsbruck, (2013). 53 Hearing model (Sottek, dissertation, 1993) Channel 1 Time Signal a 1 Channel i Auditory Sensation a i Channel n a n Specific Roughness Specific Loudness Specific Fluctuation Outer and Ear-related Filterbank Lowpass Nonlinearity Middle Ear Formation of Envelope Filtering 20 Bark s Aurally-adequate Spectral Analysis of a Door Slam Noise SOTTEK, R. Modelle zur Signalverarbeitung im menschlichen Gehör, Dissertation, RWTH Aachen (1993)

25 Extended nonlinearity of the hearing model (Sottek) BIERBAUMS, T. UND SOTTEK, R. Modellierung der zeitvarianten Lautheit mit einem Gehörmodell, DAGA 12, Darmstadt (2012). EPSTEIN, M. AND FLORENTINE, M. A test of the Equal-Loudness-Ratio hypothesis using cross-modality matching functions, J. Acoust. Soc. Am., vol. 118(2), pp (2005). ZWICKER, E. Über psychologische und methodische Grundlagen der Lautheit, Acustica, vol. 8, pp (1958). 55 Double (half) loudness of a 1-kHz tone Level increment (solid line) and decrement (dashed line) DL of a 1 khz tone, required for double and half-loudness perception (Zwicker). Mean values of 12 subjects and interquartile ranges of the measurements are shown. Starting both parts of the experiment with the lowest level! 56 25

26 Two-dimensional pitch sensation Analysis of excitation pattern in (x, τ)-plane allows for modeling psychoacoustic phenomena (e. g. difference tones, residual components) LICKLIDER, J.C.R. A Duplex Theory of Pitch Perception (1951). 57 Hearing model (Sottek) (basis) time signal s(t) Example: door slam noise t outer and middle ear filtering auditory filter bank with i=1..n critical bands 1 i n one-way rectification attenuation autocorrelation function (ACF) more compressive non-linearity consideration of threshold in quiet 1 i n SOTTEK, R. Modelle zur Signalverarbeitung im menschlichen Gehör, Dissertation, RWTH Aachen (1993)

27 Autocorrelation function of periodic signals Pure tone, f = 1 khz White noise, f = 20 Hz 20 khz 5 x E S E S E S E S E S x E S t / ms t / ms E s = φ E ss 0 = φ E ss n T E s = φ E ss 0 59 Delay time window autocorrelation function of a tone in pink noise 8 delay time window t 0 t Start t Ende delay time t / ms E s = φ ss 0 E tonal = y (φ ss τ start f, τ end f E s E tonal detection of periodicities separation of periodic signals and noise 60 27

28 Frequency-modulated tone at 2 khz (f mod =2 Hz, mi=150, L=30 db) 61 28

29 Roughness calculation procedure 63 Extension to the third dimension New algorithm: (two dimensional: time-frequency) auditory filter bank is extended by modulation spectral analysis to a tensor frequency t 3 rd dimension: time structure time hearing model spectrogram frequency weighting weighting vs. t Tensor contains information about time, frequency and time structure (modulation rate)

30 Model calibration according to Zwicker and Fastl Roland Sottek Internoise 2016, Hamburg - A hearing model approach to roughness 66 Roughness of tones (f=1 khz, f mod =70 Hz, m=1) Roland Sottek Internoise 2016, Hamburg - A hearing model approach to roughness 67 30

31 Roughness of engine sounds R I Measurement Simulation Number of engine noise 68 Application of the hearing model roughness calculation Comparison of calculated roughness with experimental results roughness 1 0,8 0,6 a 0,4 0, Number of engine noise M1 M2 M3 M4 SGNB Attia & Okker (DAGA 95) Comparison of different models for the prediction of engine roughness Klemenz (Dissertation 05) Roughness compared to dissonance 69 31

32 Blind source separation 70 Investigations of methods for detecting acoustic patterns Spectral or temporal structures (patterns) are significant for the hearing impression. Complex sound events are constructed from several of these patterns. In listening tests it can be observed that in the evaluation of complex sound events often large variations occur, which point to an individual focusing on one of these patterns. For a better analysis and exploration of psychoacoustic phenomena, therefore, an automatic detection and separation of these patterns is sought by mathematical methods

33 Blind source separation using spectrograms Spectrograms are level representations as a function of time and frequency. Better frequency resolution means worse time resolution, and vice versa, i.e., depending on the resolution temporal structures are recognizable and the representation in terms of frequencies can be smeared. The two-dimensional representation is thus often inadequate for the description and especially for the detection of patterns. The quality of the results depends greatly on the signal and the selected resolution. 72 Extension to the third dimension New algorithm: (two dimensional: time-frequency) auditory filter bank is extended by modulation spectral analysis to a tensor frequency t 3 rd dimension: time structure time hearing model spectrogram frequency weighting weighting vs. t Tensor contains information about time, frequency and time structure (modulation rate)

34 Separation of a mixture of modulated tones (example 1) original detected pattern 1 detected pattern 2 detected pattern 3 detected pattern 4 Good reconstruction of the modulated tones! detected pattern 5 74 Separation of a the patterns of a hard disc noise (example 2) original detected pattern 1 detected pattern 2 detected pattern 3 detected pattern 4 Different meaningful patterns can be detected. detected pattern

35 Conclusions and outlook Summary of psychoacoustic parameters Status of standardization Hearing model approach of Sottek Two-dimensional representations for the detection and separation of the components are often not sufficient. New method is based on three-dimensional modulation tensor. Additional information about temporal structure Based on a signal processing model of human perception First results indicate that the method can extract patterns in technical noise similar to the perceived patterns by humans. Validation shall be performed in listening tests. Outlook: possible application for soundscape projects 76 Thank you for your attention. Dr.-Ing. Roland Sottek Manager Research NVH Roland.Sottek@head-acoustics.de Copyright HEAD acoustics GmbH 77 35

Progress in calculating tonality of technical sounds

Progress in calculating tonality of technical sounds Progress in calculating tonality of technical sounds Roland SOTTEK 1 HEAD acoustics GmbH, Germany ABSTRACT Noises with tonal components, howling sounds, and modulated signals are often the cause of customer

More information

Loudness and Sharpness Calculation

Loudness and Sharpness Calculation 10/16 Loudness and Sharpness Calculation Psychoacoustics is the science of the relationship between physical quantities of sound and subjective hearing impressions. To examine these relationships, physical

More information

Loudness of pink noise and stationary technical sounds

Loudness of pink noise and stationary technical sounds Loudness of pink noise and stationary technical sounds Josef Schlittenlacher, Takeo Hashimoto, Hugo Fastl, Seiichiro Namba, Sonoko Kuwano 5 and Shigeko Hatano,, Seikei University -- Kichijoji Kitamachi,

More information

Rhona Hellman and the Munich School of Psychoacoustics

Rhona Hellman and the Munich School of Psychoacoustics Rhona Hellman and the Munich School of Psychoacoustics Hugo Fastl a) AG Technische Akustik, MMK, Technische Universität München Arcisstr. 21, 80333 München, Germany In the 1980ties we studied at our lab

More information

Psychoacoustics. lecturer:

Psychoacoustics. lecturer: Psychoacoustics lecturer: stephan.werner@tu-ilmenau.de Block Diagram of a Perceptual Audio Encoder loudness critical bands masking: frequency domain time domain binaural cues (overview) Source: Brandenburg,

More information

Using the new psychoacoustic tonality analyses Tonality (Hearing Model) 1

Using the new psychoacoustic tonality analyses Tonality (Hearing Model) 1 02/18 Using the new psychoacoustic tonality analyses 1 As of ArtemiS SUITE 9.2, a very important new fully psychoacoustic approach to the measurement of tonalities is now available., based on the Hearing

More information

inter.noise 2000 The 29th International Congress and Exhibition on Noise Control Engineering August 2000, Nice, FRANCE

inter.noise 2000 The 29th International Congress and Exhibition on Noise Control Engineering August 2000, Nice, FRANCE Copyright SFA - InterNoise 2000 1 inter.noise 2000 The 29th International Congress and Exhibition on Noise Control Engineering 27-30 August 2000, Nice, FRANCE I-INCE Classification: 7.9 THE FUTURE OF SOUND

More information

ADVANCED PROCEDURES FOR PSYCHOACOUSTIC NOISE EVALUATION

ADVANCED PROCEDURES FOR PSYCHOACOUSTIC NOISE EVALUATION ADVANCED PROCEDURES FOR PSYCHOACOUSTIC NOISE EVALUATION AG Technische Akustik, MMK, TU München Arcisstr. 21, D-80333 München, Germany fastl@mmk.ei.tum.de ABSTRACT In addition to traditional, purely physical

More information

Experiments on tone adjustments

Experiments on tone adjustments Experiments on tone adjustments Jesko L. VERHEY 1 ; Jan HOTS 2 1 University of Magdeburg, Germany ABSTRACT Many technical sounds contain tonal components originating from rotating parts, such as electric

More information

Loudness of transmitted speech signals for SWB and FB applications

Loudness of transmitted speech signals for SWB and FB applications Loudness of transmitted speech signals for SWB and FB applications Challenges, auditory evaluation and proposals for handset and hands-free scenarios Jan Reimes HEAD acoustics GmbH Sophia Antipolis, 2017-05-10

More information

Psychoacoustic Evaluation of Fan Noise

Psychoacoustic Evaluation of Fan Noise Psychoacoustic Evaluation of Fan Noise Dr. Marc Schneider Team Leader R&D - Acoustics ebm-papst Mulfingen GmbH & Co.KG Carolin Feldmann, University Siegen Outline Motivation Psychoacoustic Parameters Psychoacoustic

More information

Table 1 Pairs of sound samples used in this study Group1 Group2 Group1 Group2 Sound 2. Sound 2. Pair

Table 1 Pairs of sound samples used in this study Group1 Group2 Group1 Group2 Sound 2. Sound 2. Pair Acoustic annoyance inside aircraft cabins A listening test approach Lena SCHELL-MAJOOR ; Robert MORES Fraunhofer IDMT, Hör-, Sprach- und Audiotechnologie & Cluster of Excellence Hearing4All, Oldenburg

More information

DIFFERENCES IN TRAFFIC NOISE MEASUREMENTS WITH SLM AND BINAURAL RECORDING HEAD

DIFFERENCES IN TRAFFIC NOISE MEASUREMENTS WITH SLM AND BINAURAL RECORDING HEAD DIFFERENCES IN TRAFFIC NOISE MEASUREMENTS WITH SLM AND BINAURAL RECORDING HEAD 43.50.LJ Schwarz, Henrik schwarzingenieure GmbH, consultants in civil engineering Franckstrasse 38 71665 Vaihingen an der

More information

Implementing sharpness using specific loudness calculated from the Procedure for the Computation of Loudness of Steady Sounds

Implementing sharpness using specific loudness calculated from the Procedure for the Computation of Loudness of Steady Sounds Implementing sharpness using specific loudness calculated from the Procedure for the Computation of Loudness of Steady Sounds S. Hales Swift and, and Kent L. Gee Citation: Proc. Mtgs. Acoust. 3, 31 (17);

More information

inter.noise 2000 The 29th International Congress and Exhibition on Noise Control Engineering August 2000, Nice, FRANCE

inter.noise 2000 The 29th International Congress and Exhibition on Noise Control Engineering August 2000, Nice, FRANCE Copyright SFA - InterNoise 2000 1 inter.noise 2000 The 29th International Congress and Exhibition on Noise Control Engineering 27-30 August 2000, Nice, FRANCE I-INCE Classification: 6.1 INFLUENCE OF THE

More information

Modeling sound quality from psychoacoustic measures

Modeling sound quality from psychoacoustic measures Modeling sound quality from psychoacoustic measures Lena SCHELL-MAJOOR 1 ; Jan RENNIES 2 ; Stephan D. EWERT 3 ; Birger KOLLMEIER 4 1,2,4 Fraunhofer IDMT, Hör-, Sprach- und Audiotechnologie & Cluster of

More information

DAT335 Music Perception and Cognition Cogswell Polytechnical College Spring Week 6 Class Notes

DAT335 Music Perception and Cognition Cogswell Polytechnical College Spring Week 6 Class Notes DAT335 Music Perception and Cognition Cogswell Polytechnical College Spring 2009 Week 6 Class Notes Pitch Perception Introduction Pitch may be described as that attribute of auditory sensation in terms

More information

Determination of Sound Quality of Refrigerant Compressors

Determination of Sound Quality of Refrigerant Compressors Purdue University Purdue e-pubs International Compressor Engineering Conference School of Mechanical Engineering 1994 Determination of Sound Quality of Refrigerant Compressors S. Y. Wang Copeland Corporation

More information

TO HONOR STEVENS AND REPEAL HIS LAW (FOR THE AUDITORY STSTEM)

TO HONOR STEVENS AND REPEAL HIS LAW (FOR THE AUDITORY STSTEM) TO HONOR STEVENS AND REPEAL HIS LAW (FOR THE AUDITORY STSTEM) Mary Florentine 1,2 and Michael Epstein 1,2,3 1Institute for Hearing, Speech, and Language 2Dept. Speech-Language Pathology and Audiology (133

More information

Quarterly Progress and Status Report. An attempt to predict the masking effect of vowel spectra

Quarterly Progress and Status Report. An attempt to predict the masking effect of vowel spectra Dept. for Speech, Music and Hearing Quarterly Progress and Status Report An attempt to predict the masking effect of vowel spectra Gauffin, J. and Sundberg, J. journal: STL-QPSR volume: 15 number: 4 year:

More information

inter.noise 2000 The 29th International Congress and Exhibition on Noise Control Engineering August 2000, Nice, FRANCE

inter.noise 2000 The 29th International Congress and Exhibition on Noise Control Engineering August 2000, Nice, FRANCE Copyright SFA - InterNoise 2000 1 inter.noise 2000 The 29th International Congress and Exhibition on Noise Control Engineering 27-30 August 2000, Nice, FRANCE I-INCE Classification: 7.5 BALANCE OF CAR

More information

Sound design strategy for enhancing subjective preference of EV interior sound

Sound design strategy for enhancing subjective preference of EV interior sound Sound design strategy for enhancing subjective preference of EV interior sound Doo Young Gwak 1, Kiseop Yoon 2, Yeolwan Seong 3 and Soogab Lee 4 1,2,3 Department of Mechanical and Aerospace Engineering,

More information

Proceedings of Meetings on Acoustics

Proceedings of Meetings on Acoustics Proceedings of Meetings on Acoustics Volume 19, 2013 http://acousticalsociety.org/ ICA 2013 Montreal Montreal, Canada 2-7 June 2013 Psychological and Physiological Acoustics Session 4aPPb: Binaural Hearing

More information

Pitch. The perceptual correlate of frequency: the perceptual dimension along which sounds can be ordered from low to high.

Pitch. The perceptual correlate of frequency: the perceptual dimension along which sounds can be ordered from low to high. Pitch The perceptual correlate of frequency: the perceptual dimension along which sounds can be ordered from low to high. 1 The bottom line Pitch perception involves the integration of spectral (place)

More information

Pitch Perception and Grouping. HST.723 Neural Coding and Perception of Sound

Pitch Perception and Grouping. HST.723 Neural Coding and Perception of Sound Pitch Perception and Grouping HST.723 Neural Coding and Perception of Sound Pitch Perception. I. Pure Tones The pitch of a pure tone is strongly related to the tone s frequency, although there are small

More information

Interior and Motorbay sound quality evaluation of full electric and hybrid-electric vehicles based on psychoacoustics

Interior and Motorbay sound quality evaluation of full electric and hybrid-electric vehicles based on psychoacoustics Interior and Motorbay sound quality evaluation of full electric and hybrid-electric vehicles based on psychoacoustics D.J. Swart 1 and A. Bekker 2 Sound and Vibration Research Group Department of Mechanical

More information

9.35 Sensation And Perception Spring 2009

9.35 Sensation And Perception Spring 2009 MIT OpenCourseWare http://ocw.mit.edu 9.35 Sensation And Perception Spring 29 For information about citing these materials or our Terms of Use, visit: http://ocw.mit.edu/terms. Hearing Kimo Johnson April

More information

Temporal summation of loudness as a function of frequency and temporal pattern

Temporal summation of loudness as a function of frequency and temporal pattern The 33 rd International Congress and Exposition on Noise Control Engineering Temporal summation of loudness as a function of frequency and temporal pattern I. Boullet a, J. Marozeau b and S. Meunier c

More information

Study on the Sound Quality Objective Evaluation of High Speed Train's. Door Closing Sound

Study on the Sound Quality Objective Evaluation of High Speed Train's. Door Closing Sound Study on the Sound Quality Objective Evaluation of High Speed Train's Door Closing Sound Zongcai Liu1, a *, Zhaojin Sun2,band Shaoqing Liu3,c 1 National Engineering Research Center for High-speed EMU,CSR

More information

Absolute Perceived Loudness of Speech

Absolute Perceived Loudness of Speech Absolute Perceived Loudness of Speech Holger Quast Machine Perception Lab, Institute for Neural Computation University of California, San Diego holcus@ucsd.edu and Gruppe Sprache und Neuronale Netze Drittes

More information

UNIVERSITY OF DUBLIN TRINITY COLLEGE

UNIVERSITY OF DUBLIN TRINITY COLLEGE UNIVERSITY OF DUBLIN TRINITY COLLEGE FACULTY OF ENGINEERING & SYSTEMS SCIENCES School of Engineering and SCHOOL OF MUSIC Postgraduate Diploma in Music and Media Technologies Hilary Term 31 st January 2005

More information

Study of White Gaussian Noise with Varying Signal to Noise Ratio in Speech Signal using Wavelet

Study of White Gaussian Noise with Varying Signal to Noise Ratio in Speech Signal using Wavelet American International Journal of Research in Science, Technology, Engineering & Mathematics Available online at http://www.iasir.net ISSN (Print): 2328-3491, ISSN (Online): 2328-3580, ISSN (CD-ROM): 2328-3629

More information

Analysing Room Impulse Responses with Psychoacoustical Algorithms: A Preliminary Study

Analysing Room Impulse Responses with Psychoacoustical Algorithms: A Preliminary Study Acoustics 2008 Geelong, Victoria, Australia 24 to 26 November 2008 Acoustics and Sustainability: How should acoustics adapt to meet future demands? Analysing Room Impulse Responses with Psychoacoustical

More information

Characterization of sound quality of impulsive sounds using loudness based metric

Characterization of sound quality of impulsive sounds using loudness based metric Proceedings of th International Congress on Acoustics, ICA 10 23-27 August 10, Sydney, Australia Characterization of sound quality of impulsive sounds using loudness based metric Andrew M. Willemsen and

More information

INTER-NOISE AUGUST 2007 ISTANBUL, TURKEY

INTER-NOISE AUGUST 2007 ISTANBUL, TURKEY INTER-NOISE 2007 28-31 AUGUST 2007 ISTANBUL, TURKEY The acoustic description of patterns in soundscapes Klaus Genuit a André Fiebig b HEAD acoustics GmbH Ebertstrasse 30a 52134 Herzogenrath GERMANY ABSTRACT

More information

APPLICATION OF A PHYSIOLOGICAL EAR MODEL TO IRRELEVANCE REDUCTION IN AUDIO CODING

APPLICATION OF A PHYSIOLOGICAL EAR MODEL TO IRRELEVANCE REDUCTION IN AUDIO CODING APPLICATION OF A PHYSIOLOGICAL EAR MODEL TO IRRELEVANCE REDUCTION IN AUDIO CODING FRANK BAUMGARTE Institut für Theoretische Nachrichtentechnik und Informationsverarbeitung Universität Hannover, Hannover,

More information

CSC475 Music Information Retrieval

CSC475 Music Information Retrieval CSC475 Music Information Retrieval Monophonic pitch extraction George Tzanetakis University of Victoria 2014 G. Tzanetakis 1 / 32 Table of Contents I 1 Motivation and Terminology 2 Psychacoustics 3 F0

More information

Measurement of overtone frequencies of a toy piano and perception of its pitch

Measurement of overtone frequencies of a toy piano and perception of its pitch Measurement of overtone frequencies of a toy piano and perception of its pitch PACS: 43.75.Mn ABSTRACT Akira Nishimura Department of Media and Cultural Studies, Tokyo University of Information Sciences,

More information

Musical Acoustics Lecture 15 Pitch & Frequency (Psycho-Acoustics)

Musical Acoustics Lecture 15 Pitch & Frequency (Psycho-Acoustics) 1 Musical Acoustics Lecture 15 Pitch & Frequency (Psycho-Acoustics) Pitch Pitch is a subjective characteristic of sound Some listeners even assign pitch differently depending upon whether the sound was

More information

Colour-influences on loudness judgements

Colour-influences on loudness judgements Proceedings of th International Congress on Acoustics, ICA 1 3 7 August 1, Sydney, Australia PACS: 3..Cb, 3..Lj ABSTRACT Colour-influences on loudness judgements Daniel Menzel, Norman Haufe, Hugo Fastl

More information

Brian C. J. Moore Department of Experimental Psychology, University of Cambridge, Downing Street, Cambridge CB2 3EB, England

Brian C. J. Moore Department of Experimental Psychology, University of Cambridge, Downing Street, Cambridge CB2 3EB, England Asymmetry of masking between complex tones and noise: Partial loudness Hedwig Gockel a) CNBH, Department of Physiology, University of Cambridge, Downing Street, Cambridge CB2 3EG, England Brian C. J. Moore

More information

Concert halls conveyors of musical expressions

Concert halls conveyors of musical expressions Communication Acoustics: Paper ICA216-465 Concert halls conveyors of musical expressions Tapio Lokki (a) (a) Aalto University, Dept. of Computer Science, Finland, tapio.lokki@aalto.fi Abstract: The first

More information

Binaural Measurement, Analysis and Playback

Binaural Measurement, Analysis and Playback 11/17 Introduction 1 Locating sound sources 1 Direction-dependent and direction-independent changes of the sound field 2 Recordings with an artificial head measurement system 3 Equalization of an artificial

More information

Methods to measure stage acoustic parameters: overview and future research

Methods to measure stage acoustic parameters: overview and future research Methods to measure stage acoustic parameters: overview and future research Remy Wenmaekers (r.h.c.wenmaekers@tue.nl) Constant Hak Maarten Hornikx Armin Kohlrausch Eindhoven University of Technology (NL)

More information

Hidden melody in music playing motion: Music recording using optical motion tracking system

Hidden melody in music playing motion: Music recording using optical motion tracking system PROCEEDINGS of the 22 nd International Congress on Acoustics General Musical Acoustics: Paper ICA2016-692 Hidden melody in music playing motion: Music recording using optical motion tracking system Min-Ho

More information

Basic Considerations for Loudness-based Analysis of Room Impulse Responses

Basic Considerations for Loudness-based Analysis of Room Impulse Responses BUILDING ACOUSTICS Volume 16 Number 1 2009 Pages 31 46 31 Basic Considerations for Loudness-based Analysis of Room Impulse Responses Doheon Lee and Densil Cabrera Faculty of Architecture, Design and Planning,

More information

MASTER'S THESIS. Listener Envelopment

MASTER'S THESIS. Listener Envelopment MASTER'S THESIS 2008:095 Listener Envelopment Effects of changing the sidewall material in a model of an existing concert hall Dan Nyberg Luleå University of Technology Master thesis Audio Technology Department

More information

PsySound3: An integrated environment for the analysis of sound recordings

PsySound3: An integrated environment for the analysis of sound recordings Acoustics 2008 Geelong, Victoria, Australia 24 to 26 November 2008 Acoustics and Sustainability: How should acoustics adapt to meet future demands? PsySound3: An integrated environment for the analysis

More information

Proceedings of Meetings on Acoustics

Proceedings of Meetings on Acoustics Proceedings of Meetings on Acoustics Volume 19, 2013 http://acousticalsociety.org/ ICA 2013 Montreal Montreal, Canada 2-7 June 2013 Psychological and Physiological Acoustics Session 5aPP: Recent Trends

More information

Calculation of Unsteady Loudness in the Presence of Gaps Through Application of the Multiple Look Theory

Calculation of Unsteady Loudness in the Presence of Gaps Through Application of the Multiple Look Theory University of Windsor Scholarship at UWindsor Electronic Theses and Dissertations 2010 Calculation of Unsteady Loudness in the Presence of Gaps Through Application of the Multiple Look Theory Helen Ule

More information

CTP 431 Music and Audio Computing. Basic Acoustics. Graduate School of Culture Technology (GSCT) Juhan Nam

CTP 431 Music and Audio Computing. Basic Acoustics. Graduate School of Culture Technology (GSCT) Juhan Nam CTP 431 Music and Audio Computing Basic Acoustics Graduate School of Culture Technology (GSCT) Juhan Nam 1 Outlines What is sound? Generation Propagation Reception Sound properties Loudness Pitch Timbre

More information

MODIFICATIONS TO THE POWER FUNCTION FOR LOUDNESS

MODIFICATIONS TO THE POWER FUNCTION FOR LOUDNESS MODIFICATIONS TO THE POWER FUNCTION FOR LOUDNESS Søren uus 1,2 and Mary Florentine 1,3 1 Institute for Hearing, Speech, and Language 2 Communications and Digital Signal Processing Center, ECE Dept. (440

More information

Sound Quality Analysis of Electric Parking Brake

Sound Quality Analysis of Electric Parking Brake Sound Quality Analysis of Electric Parking Brake Bahare Naimipour a Giovanni Rinaldi b Valerie Schnabelrauch c Application Research Center, Sound Answers Inc. 6855 Commerce Boulevard, Canton, MI 48187,

More information

We realize that this is really small, if we consider that the atmospheric pressure 2 is

We realize that this is really small, if we consider that the atmospheric pressure 2 is PART 2 Sound Pressure Sound Pressure Levels (SPLs) Sound consists of pressure waves. Thus, a way to quantify sound is to state the amount of pressure 1 it exertsrelatively to a pressure level of reference.

More information

Calibration of auralisation presentations through loudspeakers

Calibration of auralisation presentations through loudspeakers Calibration of auralisation presentations through loudspeakers Jens Holger Rindel, Claus Lynge Christensen Odeon A/S, Scion-DTU, DK-2800 Kgs. Lyngby, Denmark. jhr@odeon.dk Abstract The correct level of

More information

Automatic music transcription

Automatic music transcription Music transcription 1 Music transcription 2 Automatic music transcription Sources: * Klapuri, Introduction to music transcription, 2006. www.cs.tut.fi/sgn/arg/klap/amt-intro.pdf * Klapuri, Eronen, Astola:

More information

The quality of potato chip sounds and crispness impression

The quality of potato chip sounds and crispness impression PROCEEDINGS of the 22 nd International Congress on Acoustics Product Quality and Multimodal Interaction: Paper ICA2016-558 The quality of potato chip sounds and crispness impression M. Ercan Altinsoy Chair

More information

USING MICROPHONE ARRAYS TO RECONSTRUCT MOVING SOUND SOURCES FOR AURALIZATION

USING MICROPHONE ARRAYS TO RECONSTRUCT MOVING SOUND SOURCES FOR AURALIZATION USING MICROPHONE ARRAYS TO RECONSTRUCT MOVING SOUND SOURCES FOR AURALIZATION Fanyu Meng, Michael Vorlaender Institute of Technical Acoustics, RWTH Aachen University, Germany {fanyu.meng@akustik.rwth-aachen.de)

More information

Predicting annoyance judgments from psychoacoustic metrics: Identifiable versus neutralized sounds

Predicting annoyance judgments from psychoacoustic metrics: Identifiable versus neutralized sounds The 33 rd International Congress and Exposition on Noise Control Engineering Predicting annoyance judgments from psychoacoustic metrics: Identifiable versus neutralized sounds W. Ellermeier a, A. Zeitler

More information

OBJECTIVE EVALUATION OF A MELODY EXTRACTOR FOR NORTH INDIAN CLASSICAL VOCAL PERFORMANCES

OBJECTIVE EVALUATION OF A MELODY EXTRACTOR FOR NORTH INDIAN CLASSICAL VOCAL PERFORMANCES OBJECTIVE EVALUATION OF A MELODY EXTRACTOR FOR NORTH INDIAN CLASSICAL VOCAL PERFORMANCES Vishweshwara Rao and Preeti Rao Digital Audio Processing Lab, Electrical Engineering Department, IIT-Bombay, Powai,

More information

Analysis, Synthesis, and Perception of Musical Sounds

Analysis, Synthesis, and Perception of Musical Sounds Analysis, Synthesis, and Perception of Musical Sounds The Sound of Music James W. Beauchamp Editor University of Illinois at Urbana, USA 4y Springer Contents Preface Acknowledgments vii xv 1. Analysis

More information

MEASURING LOUDNESS OF LONG AND SHORT TONES USING MAGNITUDE ESTIMATION

MEASURING LOUDNESS OF LONG AND SHORT TONES USING MAGNITUDE ESTIMATION MEASURING LOUDNESS OF LONG AND SHORT TONES USING MAGNITUDE ESTIMATION Michael Epstein 1,2, Mary Florentine 1,3, and Søren Buus 1,2 1Institute for Hearing, Speech, and Language 2Communications and Digital

More information

The Cocktail Party Effect. Binaural Masking. The Precedence Effect. Music 175: Time and Space

The Cocktail Party Effect. Binaural Masking. The Precedence Effect. Music 175: Time and Space The Cocktail Party Effect Music 175: Time and Space Tamara Smyth, trsmyth@ucsd.edu Department of Music, University of California, San Diego (UCSD) April 20, 2017 Cocktail Party Effect: ability to follow

More information

Noise evaluation based on loudness-perception characteristics of older adults

Noise evaluation based on loudness-perception characteristics of older adults Noise evaluation based on loudness-perception characteristics of older adults Kenji KURAKATA 1 ; Tazu MIZUNAMI 2 National Institute of Advanced Industrial Science and Technology (AIST), Japan ABSTRACT

More information

Equal Intensity Contours for Whole-Body Vibrations Compared With Vibrations Cross-Modally Matched to Isophones

Equal Intensity Contours for Whole-Body Vibrations Compared With Vibrations Cross-Modally Matched to Isophones Equal Intensity Contours for Whole-Body Vibrations Compared With Vibrations Cross-Modally Matched to Isophones Sebastian Merchel, M. Ercan Altinsoy and Maik Stamm Chair of Communication Acoustics, Dresden

More information

EE391 Special Report (Spring 2005) Automatic Chord Recognition Using A Summary Autocorrelation Function

EE391 Special Report (Spring 2005) Automatic Chord Recognition Using A Summary Autocorrelation Function EE391 Special Report (Spring 25) Automatic Chord Recognition Using A Summary Autocorrelation Function Advisor: Professor Julius Smith Kyogu Lee Center for Computer Research in Music and Acoustics (CCRMA)

More information

2018 Fall CTP431: Music and Audio Computing Fundamentals of Musical Acoustics

2018 Fall CTP431: Music and Audio Computing Fundamentals of Musical Acoustics 2018 Fall CTP431: Music and Audio Computing Fundamentals of Musical Acoustics Graduate School of Culture Technology, KAIST Juhan Nam Outlines Introduction to musical tones Musical tone generation - String

More information

Instrument Recognition in Polyphonic Mixtures Using Spectral Envelopes

Instrument Recognition in Polyphonic Mixtures Using Spectral Envelopes Instrument Recognition in Polyphonic Mixtures Using Spectral Envelopes hello Jay Biernat Third author University of Rochester University of Rochester Affiliation3 words jbiernat@ur.rochester.edu author3@ismir.edu

More information

Masking effects in vertical whole body vibrations

Masking effects in vertical whole body vibrations Masking effects in vertical whole body vibrations Carmen Rosa Hernandez, Etienne Parizet To cite this version: Carmen Rosa Hernandez, Etienne Parizet. Masking effects in vertical whole body vibrations.

More information

A SEMANTIC DIFFERENTIAL STUDY OF LOW AMPLITUDE SUPERSONIC AIRCRAFT NOISE AND OTHER TRANSIENT SOUNDS

A SEMANTIC DIFFERENTIAL STUDY OF LOW AMPLITUDE SUPERSONIC AIRCRAFT NOISE AND OTHER TRANSIENT SOUNDS 19 th INTERNATIONAL CONGRESS ON ACOUSTICS MADRID, 2-7 SEPTEMBER 2007 A SEMANTIC DIFFERENTIAL STUDY OF LOW AMPLITUDE SUPERSONIC AIRCRAFT NOISE AND OTHER TRANSIENT SOUNDS PACS: 43.28.Mw Marshall, Andrew

More information

Next Generation Software Solution for Sound Engineering

Next Generation Software Solution for Sound Engineering Next Generation Software Solution for Sound Engineering HEARING IS A FASCINATING SENSATION ArtemiS SUITE ArtemiS SUITE Binaural Recording Analysis Playback Troubleshooting Multichannel Soundscape ArtemiS

More information

AN ARTISTIC TECHNIQUE FOR AUDIO-TO-VIDEO TRANSLATION ON A MUSIC PERCEPTION STUDY

AN ARTISTIC TECHNIQUE FOR AUDIO-TO-VIDEO TRANSLATION ON A MUSIC PERCEPTION STUDY AN ARTISTIC TECHNIQUE FOR AUDIO-TO-VIDEO TRANSLATION ON A MUSIC PERCEPTION STUDY Eugene Mikyung Kim Department of Music Technology, Korea National University of Arts eugene@u.northwestern.edu ABSTRACT

More information

Topics in Computer Music Instrument Identification. Ioanna Karydi

Topics in Computer Music Instrument Identification. Ioanna Karydi Topics in Computer Music Instrument Identification Ioanna Karydi Presentation overview What is instrument identification? Sound attributes & Timbre Human performance The ideal algorithm Selected approaches

More information

Hybrid active noise barrier with sound masking

Hybrid active noise barrier with sound masking Hybrid active noise barrier with sound masking Xun WANG ; Yosuke KOBA ; Satoshi ISHIKAWA ; Shinya KIJIMOTO, Kyushu University, Japan ABSTRACT In this paper, a hybrid active noise barrier (ANB) with sound

More information

PSYCHOACOUSTICS & THE GRAMMAR OF AUDIO (By Steve Donofrio NATF)

PSYCHOACOUSTICS & THE GRAMMAR OF AUDIO (By Steve Donofrio NATF) PSYCHOACOUSTICS & THE GRAMMAR OF AUDIO (By Steve Donofrio NATF) "The reason I got into playing and producing music was its power to travel great distances and have an emotional impact on people" Quincey

More information

DETECTING ENVIRONMENTAL NOISE WITH BASIC TOOLS

DETECTING ENVIRONMENTAL NOISE WITH BASIC TOOLS DETECTING ENVIRONMENTAL NOISE WITH BASIC TOOLS By Henrik, September 2018, Version 2 Measuring low-frequency components of environmental noise close to the hearing threshold with high accuracy requires

More information

Temporal Envelope and Periodicity Cues on Musical Pitch Discrimination with Acoustic Simulation of Cochlear Implant

Temporal Envelope and Periodicity Cues on Musical Pitch Discrimination with Acoustic Simulation of Cochlear Implant Temporal Envelope and Periodicity Cues on Musical Pitch Discrimination with Acoustic Simulation of Cochlear Implant Lichuan Ping 1, 2, Meng Yuan 1, Qinglin Meng 1, 2 and Haihong Feng 1 1 Shanghai Acoustics

More information

Intelligent Tools for Multitrack Frequency and Dynamics Processing

Intelligent Tools for Multitrack Frequency and Dynamics Processing Intelligent Tools for Multitrack Frequency and Dynamics Processing Ma, Zheng The copyright of this thesis rests with the author and no quotation from it or information derived from it may be published

More information

19 th INTERNATIONAL CONGRESS ON ACOUSTICS MADRID, 2-7 SEPTEMBER 2007

19 th INTERNATIONAL CONGRESS ON ACOUSTICS MADRID, 2-7 SEPTEMBER 2007 19 th INTERNATIONAL CONGRESS ON ACOUSTICS MADRID, 2-7 SEPTEMBER 2007 NOIDESc: Incorporating Feature Descriptors into a Novel Railway Noise Evaluation Scheme PACS: 43.55.Cs Brian Gygi 1, Werner A. Deutsch

More information

CTP431- Music and Audio Computing Musical Acoustics. Graduate School of Culture Technology KAIST Juhan Nam

CTP431- Music and Audio Computing Musical Acoustics. Graduate School of Culture Technology KAIST Juhan Nam CTP431- Music and Audio Computing Musical Acoustics Graduate School of Culture Technology KAIST Juhan Nam 1 Outlines What is sound? Physical view Psychoacoustic view Sound generation Wave equation Wave

More information

Tempo and Beat Tracking

Tempo and Beat Tracking Tutorial Automatisierte Methoden der Musikverarbeitung 47. Jahrestagung der Gesellschaft für Informatik Tempo and Beat Tracking Meinard Müller, Christof Weiss, Stefan Balke International Audio Laboratories

More information

Note on Posted Slides. Noise and Music. Noise and Music. Pitch. PHY205H1S Physics of Everyday Life Class 15: Musical Sounds

Note on Posted Slides. Noise and Music. Noise and Music. Pitch. PHY205H1S Physics of Everyday Life Class 15: Musical Sounds Note on Posted Slides These are the slides that I intended to show in class on Tue. Mar. 11, 2014. They contain important ideas and questions from your reading. Due to time constraints, I was probably

More information

EXPLORING PSYCHOACOUSTIC INDICATORS TO ASSESS CLOSE PROXIMITY TYRE-ROAD NOISE

EXPLORING PSYCHOACOUSTIC INDICATORS TO ASSESS CLOSE PROXIMITY TYRE-ROAD NOISE EXPLORING PSYCHOACOUSTIC INDICATORS TO ASSESS CLOSE PROXIMITY TYRE-ROAD NOISE Elisabete Freitas 1, Francisco Soares 2, João Lamas 3 1 Centro de Território, Ambiente e Construção, Department of Civil Engineering,

More information

Robert Alexandru Dobre, Cristian Negrescu

Robert Alexandru Dobre, Cristian Negrescu ECAI 2016 - International Conference 8th Edition Electronics, Computers and Artificial Intelligence 30 June -02 July, 2016, Ploiesti, ROMÂNIA Automatic Music Transcription Software Based on Constant Q

More information

ETSI TR V1.1.1 ( )

ETSI TR V1.1.1 ( ) TR 102 648-3 V1.1.1 (2007-02) Technical Report Speech Processing, Transmission and Quality Aspects (STQ); Test Methodologies for Test Events and Results; Part 3: 2 nd Plugtests Speech Quality Test Event

More information

On the strike note of bells

On the strike note of bells Loughborough University Institutional Repository On the strike note of bells This item was submitted to Loughborough University's Institutional Repository by the/an author. Citation: SWALLOWE and PERRIN,

More information

Springer Series in Information Sciences 22

Springer Series in Information Sciences 22 Springer Series in Information Sciences 22 Springer Series in Information Sciences Editors: Thomas S. Huang Teuvo Kohonen Manfred R. Schroeder 30 Self-Organizing Maps By T. Kohonen 3rd Edition 3 I Music

More information

Consonance perception of complex-tone dyads and chords

Consonance perception of complex-tone dyads and chords Downloaded from orbit.dtu.dk on: Nov 24, 28 Consonance perception of complex-tone dyads and chords Rasmussen, Marc; Santurette, Sébastien; MacDonald, Ewen Published in: Proceedings of Forum Acusticum Publication

More information

Binaural dynamic responsiveness in concert halls

Binaural dynamic responsiveness in concert halls Toronto, Canada International Symposium on Room Acoustics 2013 June 9-11 Binaural dynamic responsiveness in concert halls Jukka Pätynen (jukka.patynen@aalto.fi) Sakari Tervo (sakari.tervo@aalto.fi) Tapio

More information

Why do some concert halls render music more expressive and impressive than others?

Why do some concert halls render music more expressive and impressive than others? Evaluation of Concert Halls / Opera Houses : ISMRA216-72 Why do some concert halls render music more expressive and impressive than others? Tapio Lokki Aalto University, Finland, Tapio.Lokki@aalto.fi Abstract

More information

Music Source Separation

Music Source Separation Music Source Separation Hao-Wei Tseng Electrical and Engineering System University of Michigan Ann Arbor, Michigan Email: blakesen@umich.edu Abstract In popular music, a cover version or cover song, or

More information

THE PSYCHOACOUSTICS OF MULTICHANNEL AUDIO. J. ROBERT STUART Meridian Audio Ltd Stonehill, Huntingdon, PE18 6ED England

THE PSYCHOACOUSTICS OF MULTICHANNEL AUDIO. J. ROBERT STUART Meridian Audio Ltd Stonehill, Huntingdon, PE18 6ED England THE PSYCHOACOUSTICS OF MULTICHANNEL AUDIO J. ROBERT STUART Meridian Audio Ltd Stonehill, Huntingdon, PE18 6ED England ABSTRACT This is a tutorial paper giving an introduction to the perception of multichannel

More information

Topic 10. Multi-pitch Analysis

Topic 10. Multi-pitch Analysis Topic 10 Multi-pitch Analysis What is pitch? Common elements of music are pitch, rhythm, dynamics, and the sonic qualities of timbre and texture. An auditory perceptual attribute in terms of which sounds

More information

Department of Electrical & Electronic Engineering Imperial College of Science, Technology and Medicine. Project: Real-Time Speech Enhancement

Department of Electrical & Electronic Engineering Imperial College of Science, Technology and Medicine. Project: Real-Time Speech Enhancement Department of Electrical & Electronic Engineering Imperial College of Science, Technology and Medicine Project: Real-Time Speech Enhancement Introduction Telephones are increasingly being used in noisy

More information

The Tone Height of Multiharmonic Sounds. Introduction

The Tone Height of Multiharmonic Sounds. Introduction Music-Perception Winter 1990, Vol. 8, No. 2, 203-214 I990 BY THE REGENTS OF THE UNIVERSITY OF CALIFORNIA The Tone Height of Multiharmonic Sounds ROY D. PATTERSON MRC Applied Psychology Unit, Cambridge,

More information

Music Representations

Music Representations Lecture Music Processing Music Representations Meinard Müller International Audio Laboratories Erlangen meinard.mueller@audiolabs-erlangen.de Book: Fundamentals of Music Processing Meinard Müller Fundamentals

More information

ACTIVE SOUND DESIGN: VACUUM CLEANER

ACTIVE SOUND DESIGN: VACUUM CLEANER ACTIVE SOUND DESIGN: VACUUM CLEANER PACS REFERENCE: 43.50 Qp Bodden, Markus (1); Iglseder, Heinrich (2) (1): Ingenieurbüro Dr. Bodden; (2): STMS Ingenieurbüro (1): Ursulastr. 21; (2): im Fasanenkamp 10

More information

Getting Started with the LabVIEW Sound and Vibration Toolkit

Getting Started with the LabVIEW Sound and Vibration Toolkit 1 Getting Started with the LabVIEW Sound and Vibration Toolkit This tutorial is designed to introduce you to some of the sound and vibration analysis capabilities in the industry-leading software tool

More information

Detection and demodulation of non-cooperative burst signal Feng Yue 1, Wu Guangzhi 1, Tao Min 1

Detection and demodulation of non-cooperative burst signal Feng Yue 1, Wu Guangzhi 1, Tao Min 1 International Conference on Applied Science and Engineering Innovation (ASEI 2015) Detection and demodulation of non-cooperative burst signal Feng Yue 1, Wu Guangzhi 1, Tao Min 1 1 China Satellite Maritime

More information

The Research of Controlling Loudness in the Timbre Subjective Perception Experiment of Sheng

The Research of Controlling Loudness in the Timbre Subjective Perception Experiment of Sheng The Research of Controlling Loudness in the Timbre Subjective Perception Experiment of Sheng S. Zhu, P. Ji, W. Kuang and J. Yang Institute of Acoustics, CAS, O.21, Bei-Si-huan-Xi Road, 100190 Beijing,

More information