Distributed Digital Music Archives and Libraries (DDMAL)
|
|
|
- Stephanie Merryl Harvey
- 5 years ago
- Views:
Transcription
1 Distributed Digital Music Archives and Libraries (DDMAL) Ichiro Fujinaga Schulich School of Music McGill University
2 Research Infrastructure CIRMMT McGill University Schulich School of Music Music Technology Area DDMAL NEMISIG 2008 Fujinaga 2 / 19
3 CIRMMT Centre for Interdisciplinary Research in Music Media and Technology Six research axes: Sound modeling, acoustics, and signal processing Musical gestures, devices, and motion capture Musical information archiving and retrieval Multimodal immersive systems Music perception and cognition Expanded musical practice NEMISIG 2008 Fujinaga 3 / 19
4 CIRMMT Centre for Interdisciplinary Research in Music Media and Technology Schulich School of Music Music Technology Area Sound Recording Area Digital Composition Studio Music Education Area Music Theory Area McGill Faculty of Science Department of Psychology School of Computer Science McGill Faculty of Engineering Electrical and Computer Engineering McGill Faculty of Medicine Montreal Neurological Institute Université de Montréal Faculty of Music Faculty of Arts and Sciences (Psychology, Computer Science) BRAMS Université de Sherbrooke Groupe d'acoustique NEMISIG 2008 Fujinaga 4 / 19
5 Professors McGill University Schulich School of Music Music Technology Area Philippe Depalle Ichiro Fujinaga Stephen McAdams Gary Scavone Marcelo Wanderley Post-docs (5) PhD students (18) Master s students (7) Honours undergrads (7) NEMISIG 2008 Fujinaga 5 / 19
6 McGill University Schulich School of Music Music Technology Area Sound Processing and Control Laboratory (SPCL) Computational Acoustic Modeling Laboratory (CAML) Input Devices and Music Interaction Laboratory (IDMIL) Music Perception and Cognition Laboratory (MPCL) Real-Time Multimodal Laboratory (RTML) Distributed Digital Music Archives and Libraries Laboratory (DDMAL) NEMISIG 2008 Fujinaga 6 / 19
7 Research Projects in DDMAL Distributed Digital Music Archives and Libraries GEMM: Laurent Pugin,, John Ashley Burgoyn Gamut for Early Music on Microfilms jmir: Cory McKay Java-based Music Information Retrieval tools OMEN: Dan McEnnis, Andrew Hankinson On-demand Metadata Extraction Network MAPP: Catherine Lai, Damon Li McGill Audio Preservation Project MAQ (McGill( Audio Quality laboratory) MItAC (McGill Image to Audio Conversion system) NEMISIG 2008 Fujinaga 7 / 19
8 GEMM (Gamut for Early Music on Microfilms) Based on GAMUT (Gamera-based Automatic Music Understanding Toolkit) & ARUSPIX Possibility of OMR for music on microfilms Almost all old Western music are on microfilms Efficient digitization using automatic microfilm scanner (500ppm) Goal: Diplomatic facsimile Geometrically accurate reproduction Imitate fonts and handwriting style NEMISIG 2008 Fujinaga 8 / 19
9 ACE jmir java-based MIR tools ACE (Autonomous Classifier Engine) Meta learning framework jaudio Feature extractor for audio data jsymbolic Feature extractor for symbolic data jwebminer Cultural features extractor from web text jmusicmetamanager Detect and correct erroneous metadata NEMISIG 2008 Fujinaga 9 / 19
10 On-demand Metadata Extraction Network (OMEN) Musical features are metadata Metadata (XML) much bigger than audio files Audio files mirrored in several locations Under-utilized library computers Common features (metadata) cached L2L (library-to-library) protocol: currently implemented using servlets and JavaServer Pages (JSP) NEMISIG 2008 Fujinaga 10 / 19
11 OMEN Topology Master Node Library Node Worker Node NEMISIG 2008 Fujinaga 11 / 19
12 McGill Audio Preservation Project (MAPP) Millions of LPs to be digitized Workflow management Document analysis Automatic metadata extraction Automatic track segmentation Recordings before 1957: Public Domain Pilot project: Edelberg Handel Collection NEMISIG 2008 Fujinaga 12 / 19
13 McGill Image-to-Audio Conversion (MItAC)) System NEMISIG 2008 Fujinaga 13 / 19
14 White-light Interferometry Profiling Microscope Lateral resolution 0.1 micrometer (µm)( Vertical resolution 0.1 nanometer $260,000! NEMISIG 2008 Fujinaga 14 / 19
15 NEMISIG 2008 Fujinaga 15 / 19
16 The world s slowest turntable Time and space to scan one side of an LP Resolution Time File Size (hours) (GB) 5x x 50x 100x 241 (10 days) 6,251 (~ 8 months) 24,743 (~ 3 years) 173 4,486 17,756 NEMISIG 2008 Fujinaga 16 / 19
17 Upcoming Research Statistical sequential data analysis: John Ashley Burgoyne Pitch estimation in polyphonic vocal music to facilitate choral intonation modeling: Johanna Devaney Distributed name authority architecture for digital music libraries: Andrew Hankinson High-resolution time-frequency analysis: Jason Hockman NEMISIG 2008 Fujinaga 17 / 19
18 Introducing NEMA Network Environment for Music Analysis Mellon-funded three-year $1.2M project Participants UIUC (Downie( Downie) McGill (Fujinaga) Goldsmiths (Crawford) Queen Mary (Sandler( Sandler) South Hampton (De Roure) Waikato (Bainbridge) Technologies: jmir,, ACE XML, OMEN, NEMISIG 2008 Fujinaga 18 / 19
19 Acknowledgements NEMISIG 2008 Fujinaga 19 / 19
jsymbolic 2: New Developments and Research Opportunities
jsymbolic 2: New Developments and Research Opportunities Cory McKay Marianopolis College and CIRMMT Montreal, Canada 2 / 30 Topics Introduction to features (from a machine learning perspective) And how
PUBLICATIONS Refereed book chapters Refereed journal papers
PUBLICATIONS Refereed book chapters Fujinaga, Ichiro, Andrew Hankinson, and Laurent Pugin. Automatic Score Extraction with Optical Music Recognition. In Current Research in Systematic Musicology, R. Bader,
EVALUATING THE GENRE CLASSIFICATION PERFORMANCE OF LYRICAL FEATURES RELATIVE TO AUDIO, SYMBOLIC AND CULTURAL FEATURES
EVALUATING THE GENRE CLASSIFICATION PERFORMANCE OF LYRICAL FEATURES RELATIVE TO AUDIO, SYMBOLIC AND CULTURAL FEATURES Cory McKay, John Ashley Burgoyne, Jason Hockman, Jordan B. L. Smith, Gabriel Vigliensoni
Music Information Retrieval
Music Information Retrieval Informative Experiences in Computation and the Archive David De Roure @dder David De Roure @dder Four quadrants Big Data Scientific Computing Machine Learning Automation More
SIMSSA DB: A Database for Computational Musicological Research
SIMSSA DB: A Database for Computational Musicological Research Cory McKay Marianopolis College 2018 International Association of Music Libraries, Archives and Documentation Centres International Congress,
Ichiro Fujinaga. Page 10
Online content-searchable databases of music scores, unlike text databases, are extremely rare. The main reasons are the cost of digitization, the inaccessibility of original music scores and manuscripts,
jsymbolic and ELVIS Cory McKay Marianopolis College Montreal, Canada
jsymbolic and ELVIS Cory McKay Marianopolis College Montreal, Canada What is jsymbolic? Software that extracts statistical descriptors (called features ) from symbolic music files Can read: MIDI MEI (soon)
CURRICULUM VITAE. David W. R. Sears
CURRICULUM VITAE David W. R. Sears 555 Sherbrooke Street West, Montreal, Québec, Canada H3A 1E3 Office Phone: (514) 398-4535, ext. 094837 Cellular Phone: (514) 554-2703 Email: david.sears@mail.mcgill.ca
The Music Information Retrieval Evaluation exchange (MIREX): An Introductory Overview
The Music Information Retrieval Evaluation exchange (MIREX): An Introductory Overview http://music-ir.org/mirexwiki J. Stephen Downie Graduate School of Library and Information Science University of Illinois
ELVIS. Electronic Locator of Vertical Interval Successions The First Large Data-Driven Research Project on Musical Style Julie Cumming
ELVIS Electronic Locator of Vertical Interval Successions The First Large Data-Driven Research Project on Musical Style Julie Cumming julie.cumming@mcgill.ca July 28, 2012 Digging into Data Challenge Grant
An interdisciplinary approach to audio effect classification
An interdisciplinary approach to audio effect classification Vincent Verfaille, Catherine Guastavino Caroline Traube, SPCL / CIRMMT, McGill University GSLIS / CIRMMT, McGill University LIAM / OICM, Université
THE INTERSECTION OF COMPUTATIONAL ANALYSIS AND MUSIC MANUSCRIPTS: A NEW MODEL FOR BACH SOURCE STUDIES OF THE 21ST CENTURY
THE INTERSECTION OF COMPUTATIONAL ANALYSIS AND MUSIC MANUSCRIPTS: A NEW MODEL FOR BACH SOURCE STUDIES OF THE 21ST CENTURY Masahiro Niitsuma Tsutomu Fujinami Yo Tomita School of Muisc and Sonic Arts, Queen
Statistical Modeling and Retrieval of Polyphonic Music
Statistical Modeling and Retrieval of Polyphonic Music Erdem Unal Panayiotis G. Georgiou and Shrikanth S. Narayanan Speech Analysis and Interpretation Laboratory University of Southern California Los Angeles,
Methodologies for Creating Symbolic Early Music Corpora for Musicological Research
Methodologies for Creating Symbolic Early Music Corpora for Musicological Research Cory McKay (Marianopolis College) Julie Cumming (McGill University) Jonathan Stuchbery (McGill University) Ichiro Fujinaga
Digitization Project of the Historical Archives of Macao
Digitization Project of the Historical Archives of Macao Chan Veng Ian Historical Archives of Macao The backup project of the Historical Archives of Macao (hereinafter referred to as AH, from the Portuguese
THE POTENTIAL FOR AUTOMATIC ASSESSMENT OF TRUMPET TONE QUALITY
12th International Society for Music Information Retrieval Conference (ISMIR 2011) THE POTENTIAL FOR AUTOMATIC ASSESSMENT OF TRUMPET TONE QUALITY Trevor Knight Finn Upham Ichiro Fujinaga Centre for Interdisciplinary
Style-independent computer-assisted exploratory analysis of large music collections
Style-independent computer-assisted exploratory analysis of large music collections Abstract Cory McKay Schulich School of Music McGill University Montreal, Quebec, Canada cory.mckay@mail.mcgill.ca The
Symbol Classification Approach for OMR of Square Notation Manuscripts
Symbol Classification Approach for OMR of Square Notation Manuscripts Carolina Ramirez Waseda University ramirez@akane.waseda.jp Jun Ohya Waseda University ohya@waseda.jp ABSTRACT Researchers in the field
Multidimensional analysis of interdependence in a string quartet
International Symposium on Performance Science The Author 2013 ISBN tbc All rights reserved Multidimensional analysis of interdependence in a string quartet Panos Papiotis 1, Marco Marchini 1, and Esteban
Audio Feature Extraction for Corpus Analysis
Audio Feature Extraction for Corpus Analysis Anja Volk Sound and Music Technology 5 Dec 2017 1 Corpus analysis What is corpus analysis study a large corpus of music for gaining insights on general trends
MUSICOLOGY OF EARLY MUSIC WITH EUROPEANA TOOLS AND SERVICES
MUSICOLOGY OF EARLY MUSIC WITH EUROPEANA TOOLS AND SERVICES Erik Duval 1, Marnix van Berchum 2, Anja Jentzsch 3, Gonzalo Alberto Parra Chico 1, Andreas Drakos 4 1 erik.duval@cs.kuleuven.be, Dept. of Computer
GARY PAUL SCAVONE EDUCATION:
Music Technology Area Schulich School of Music of McGill University Montreal, Quebec H3A 1E3 Canada 514-398-4535, x-089834 http://www.music.mcgill.ca/~gary/ GARY PAUL SCAVONE EDUCATION: 1992 1997 Stanford
CSC475 Music Information Retrieval
CSC475 Music Information Retrieval Symbolic Music Representations George Tzanetakis University of Victoria 2014 G. Tzanetakis 1 / 30 Table of Contents I 1 Western Common Music Notation 2 Digital Formats
Structural Analysis of Large Amounts of Music Information
Structural Analysis of Large Amounts of Music Information Mert Bay, John Ashley Burgoyne, Tim Crawford, David De Roure, J. Stephen Downie, Andreas Ehmann, Benjamin Fields, Ichiro Fujinaga, Kevin Page,
Speech Recognition and Signal Processing for Broadcast News Transcription
2.2.1 Speech Recognition and Signal Processing for Broadcast News Transcription Continued research and development of a broadcast news speech transcription system has been promoted. Universities and researchers
ASSOCIATIONS BETWEEN MUSICOLOGY AND MUSIC INFORMATION RETRIEVAL
12th International Society for Music Information Retrieval Conference (ISMIR 2011) ASSOCIATIONS BETWEEN MUSICOLOGY AND MUSIC INFORMATION RETRIEVAL Kerstin Neubarth Canterbury Christ Church University Canterbury,
Norwegian sound recording
Audio recovery and identification of first Norwegian sound recording P.J. Boltryk, J.W. McBride, L Gaustad, F Weium F Slid i t t S th t For Slides see e.prints at Southampton University Summary Description
MATCHING MUSICAL THEMES BASED ON NOISY OCR AND OMR INPUT. Stefan Balke, Sanu Pulimootil Achankunju, Meinard Müller
MATCHING MUSICAL THEMES BASED ON NOISY OCR AND OMR INPUT Stefan Balke, Sanu Pulimootil Achankunju, Meinard Müller International Audio Laboratories Erlangen, Friedrich-Alexander-Universität (FAU), Germany
Voice & Music Pattern Extraction: A Review
Voice & Music Pattern Extraction: A Review 1 Pooja Gautam 1 and B S Kaushik 2 Electronics & Telecommunication Department RCET, Bhilai, Bhilai (C.G.) India pooja0309pari@gmail.com 2 Electrical & Instrumentation
FascinatE Newsletter
1 IBC Special Issue, September 2011 Inside this issue: FascinatE http://www.fascinate- project.eu/ Ref. Ares(2011)1005901-22/09/2011 Welcome from the Project Coordinator Welcome from the project coordinator
Music Understanding and the Future of Music
Music Understanding and the Future of Music Roger B. Dannenberg Professor of Computer Science, Art, and Music Carnegie Mellon University Why Computers and Music? Music in every human society! Computers
Making sense of it all - combining digitized analogue collections with e-legal deposit and harvested web sites
- combining digitized analogue collections with e-legal deposit and harvested web sites Pär Nilsson Sidnummer History and collections Legal deposit since 1661 First Swedish newspaper 1645 (Ordinari Post
Introductions to Music Information Retrieval
Introductions to Music Information Retrieval ECE 272/472 Audio Signal Processing Bochen Li University of Rochester Wish List For music learners/performers While I play the piano, turn the page for me Tell
Automatic Key Detection of Musical Excerpts from Audio
Automatic Key Detection of Musical Excerpts from Audio Spencer Campbell Music Technology Area, Department of Music Research Schulich School of Music McGill University Montreal, Canada August 2010 A thesis
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)
ETHNOMUSE: ARCHIVING FOLK MUSIC AND DANCE CULTURE
ETHNOMUSE: ARCHIVING FOLK MUSIC AND DANCE CULTURE Matija Marolt, Member IEEE, Janez Franc Vratanar, Gregor Strle Abstract: The paper presents the development of EthnoMuse: multimedia digital library of
Music Information Retrieval (MIR)
Ringvorlesung Perspektiven der Informatik Sommersemester 2010 Meinard Müller Universität des Saarlandes und MPI Informatik meinard@mpi-inf.mpg.de Priv.-Doz. Dr. Meinard Müller 2007 Habilitation, Bonn 2007
TOWARD AN INTELLIGENT EDITOR FOR JAZZ MUSIC
TOWARD AN INTELLIGENT EDITOR FOR JAZZ MUSIC G.TZANETAKIS, N.HU, AND R.B. DANNENBERG Computer Science Department, Carnegie Mellon University 5000 Forbes Avenue, Pittsburgh, PA 15213, USA E-mail: gtzan@cs.cmu.edu
Computational Modelling of Harmony
Computational Modelling of Harmony Simon Dixon Centre for Digital Music, Queen Mary University of London, Mile End Rd, London E1 4NS, UK simon.dixon@elec.qmul.ac.uk http://www.elec.qmul.ac.uk/people/simond
The digital Beethoven house
The digital Beethoven house A project of in cooperation with Overview Motivation Goals of the project The digital Beethoven house Overview of the project Core Components of the project - Digital Archive
APPLICATIONS OF A SEMI-AUTOMATIC MELODY EXTRACTION INTERFACE FOR INDIAN MUSIC
APPLICATIONS OF A SEMI-AUTOMATIC MELODY EXTRACTION INTERFACE FOR INDIAN MUSIC Vishweshwara Rao, Sachin Pant, Madhumita Bhaskar and Preeti Rao Department of Electrical Engineering, IIT Bombay {vishu, sachinp,
Music Information Retrieval (MIR)
Ringvorlesung Perspektiven der Informatik Wintersemester 2011/2012 Meinard Müller Universität des Saarlandes und MPI Informatik meinard@mpi-inf.mpg.de Priv.-Doz. Dr. Meinard Müller 2007 Habilitation, Bonn
Journal of Field Robotics. Instructions to Authors
Journal of Field Robotics Instructions to Authors Manuscripts submitted to the Journal of Field Robotics should describe work that has both practical and theoretical significance. Authors must clearly
The MAMI Query-By-Voice Experiment Collecting and annotating vocal queries for music information retrieval
The MAMI Query-By-Voice Experiment Collecting and annotating vocal queries for music information retrieval IPEM, Dept. of musicology, Ghent University, Belgium Outline About the MAMI project Aim of the
Music Information Retrieval. Juan P Bello
Music Information Retrieval Juan P Bello What is MIR? Imagine a world where you walk up to a computer and sing the song fragment that has been plaguing you since breakfast. The computer accepts your off-key
Music Radar: A Web-based Query by Humming System
Music Radar: A Web-based Query by Humming System Lianjie Cao, Peng Hao, Chunmeng Zhou Computer Science Department, Purdue University, 305 N. University Street West Lafayette, IN 47907-2107 {cao62, pengh,
The Joint Transportation Research Program & Purdue Library Publishing Services
The Joint Transportation Research Program & Purdue Library Publishing Services Presentation at the March 2011 Road School West Lafayette, Indiana Paul Bracke Associate Dean, Purdue University Libraries
Explorations in linked data practice for early music
Explorations in linked data practice for early music Tim Crawford, Ben Fields, David Lewis (Goldsmiths, University of London) Kevin Page (Oxford University) Reinier de Valk, Tillman Weyde (City University
Analysing Musical Pieces Using harmony-analyser.org Tools
Analysing Musical Pieces Using harmony-analyser.org Tools Ladislav Maršík Dept. of Software Engineering, Faculty of Mathematics and Physics Charles University, Malostranské nám. 25, 118 00 Prague 1, Czech
Exploring Melodic Features for the Classification and Retrieval of Traditional Music in the Context of Cultural Source
Exploring Melodic Features for the Classification and Retrieval of Traditional Music in the Context of Cultural Source Jan Miles Co Ateneo de Manila University Quezon City, Philippines janmilesco@yahoo.com.ph
DESIGN AND CREATION OF A LARGE-SCALE DATABASE OF STRUCTURAL ANNOTATIONS
12th International Society for Music Information Retrieval Conference (ISMIR 2011) DESIGN AND CREATION OF A LARGE-SCALE DATABASE OF STRUCTURAL ANNOTATIONS Jordan B. L. Smith 1, J. Ashley Burgoyne 2, Ichiro
An editor for lute tablature
An editor for lute tablature Christophe Rhodes and David Lewis Centre for Cognition, Computation and Culture Goldsmiths College, University of London New Cross Gate, London SE14 6NW, UK c.rhodes@gold.ac.uk,
Singing accuracy, listeners tolerance, and pitch analysis
Singing accuracy, listeners tolerance, and pitch analysis Pauline Larrouy-Maestri Pauline.Larrouy-Maestri@aesthetics.mpg.de Johanna Devaney Devaney.12@osu.edu Musical errors Contour error Interval error
Ph.D Research Proposal: Coordinating Knowledge Within an Optical Music Recognition System
Ph.D Research Proposal: Coordinating Knowledge Within an Optical Music Recognition System J. R. McPherson March, 2001 1 Introduction to Optical Music Recognition Optical Music Recognition (OMR), sometimes
Music Similarity and Cover Song Identification: The Case of Jazz
Music Similarity and Cover Song Identification: The Case of Jazz Simon Dixon and Peter Foster s.e.dixon@qmul.ac.uk Centre for Digital Music School of Electronic Engineering and Computer Science Queen Mary
Non-chord Tone Identification
Non-chord Tone Identification Yaolong Ju Centre for Interdisciplinary Research in Music Media and Technology (CIRMMT) Schulich School of Music McGill University SIMSSA XII Workshop 2017 Aug. 7 th, 2017
Music and Text: Integrating Scholarly Literature into Music Data
Music and Text: Integrating Scholarly Literature into Music Datasets Richard Lewis, David Lewis, Tim Crawford, and Geraint Wiggins Goldsmiths College, University of London DRHA09 - Dynamic Networks of
Towards computational dialogue types for BIM collaborative design: An initial Study
Towards computational dialogue types for BIM collaborative design: An initial Study Alice Toniolo 1, Marianthi Leon 2 1 School of Computer Science, University of St Andrews 2 Scott Sutherland School of
Representing, comparing and evaluating of music files
Representing, comparing and evaluating of music files Nikoleta Hrušková, Juraj Hvolka Abstract: Comparing strings is mostly used in text search and text retrieval. We used comparing of strings for music
Perceptual dimensions of short audio clips and corresponding timbre features
Perceptual dimensions of short audio clips and corresponding timbre features Jason Musil, Budr El-Nusairi, Daniel Müllensiefen Department of Psychology, Goldsmiths, University of London Question How do
Feature-Based Analysis of Haydn String Quartets
Feature-Based Analysis of Haydn String Quartets Lawson Wong 5/5/2 Introduction When listening to multi-movement works, amateur listeners have almost certainly asked the following situation : Am I still
Modulo7 : A Full Stack Music Information Retrieval and. Structured Querying Engine. Arunav Sanyal
Modulo7 : A Full Stack Music Information Retrieval and Structured Querying Engine by Arunav Sanyal A thesis submitted to The Johns Hopkins University in conformity with the requirements for the degree
Outline. Why do we classify? Audio Classification
Outline Introduction Music Information Retrieval Classification Process Steps Pitch Histograms Multiple Pitch Detection Algorithm Musical Genre Classification Implementation Future Work Why do we classify
Convention Paper Presented at the 132nd Convention 2012 April Budapest, Hungary
Audio Engineering Society Convention Paer Presented at the nd Convention 0 Aril 6 9 Budaest, Hungary This aer was eer-reviewed as a comlete manuscrit for resentation at this Convention. Additional aers
Perception and Sound Design
Centrale Nantes Perception and Sound Design ENGINEERING PROGRAMME PROFESSIONAL OPTION EXPERIMENTAL METHODOLOGY IN PSYCHOLOGY To present the experimental method for the study of human auditory perception
CONSTRUCTING PEDB 2nd EDITION: A MUSIC PERFORMANCE DATABASE WITH PHRASE INFORMATION
CONSTRUCTING PEDB 2nd EDITION: A MUSIC PERFORMANCE DATABASE WITH PHRASE INFORMATION Mitsuyo Hashida Soai University hashida@soai.ac.jp Eita Nakamura Kyoto University enakamura@sap.ist.i.kyoto-u.ac.jp Haruhiro
Melodic Pattern Segmentation of Polyphonic Music as a Set Partitioning Problem
Melodic Pattern Segmentation of Polyphonic Music as a Set Partitioning Problem Tsubasa Tanaka and Koichi Fujii Abstract In polyphonic music, melodic patterns (motifs) are frequently imitated or repeated,
Categorization of ICMR Using Feature Extraction Strategy And MIR With Ensemble Learning
Available online at www.sciencedirect.com ScienceDirect Procedia Computer Science 57 (2015 ) 686 694 3rd International Conference on Recent Trends in Computing 2015 (ICRTC-2015) Categorization of ICMR
ICDL FAQS FOR REVISED 3/18/05. What is the International Children s Digital Library (ICDL)? Who is the intended audience for the ICDL?
ICDL FAQS FOR PUBLISHERS, AUTHORS, ILLUSTRATORS, AND OTHER RIGHTS HOLDERS REVISED 3/18/05 What is the International Children s Digital Library (ICDL)? Who created the ICDL? What are the research goals
Developing multitrack audio e ect plugins for music production research
Developing multitrack audio e ect plugins for music production research Brecht De Man Correspondence: Centre for Digital Music School of Electronic Engineering and Computer Science
ABSOLUTE OR RELATIVE? A NEW APPROACH TO BUILDING FEATURE VECTORS FOR EMOTION TRACKING IN MUSIC
ABSOLUTE OR RELATIVE? A NEW APPROACH TO BUILDING FEATURE VECTORS FOR EMOTION TRACKING IN MUSIC Vaiva Imbrasaitė, Peter Robinson Computer Laboratory, University of Cambridge, UK Vaiva.Imbrasaite@cl.cam.ac.uk
An Overview of Electronic Legal Deposit (UK)
An Overview of Electronic Legal Deposit (UK) 1801 Trinity becomes UK Legal Deposit Library for print material British Library, National Library of Scotland, National Library of Wales Bodleian Library Oxford,
DAY 1. Intelligent Audio Systems: A review of the foundations and applications of semantic audio analysis and music information retrieval
DAY 1 Intelligent Audio Systems: A review of the foundations and applications of semantic audio analysis and music information retrieval Jay LeBoeuf Imagine Research jay{at}imagine-research.com Rebecca
Exploring the Design Space of Symbolic Music Genre Classification Using Data Mining Techniques Ortiz-Arroyo, Daniel; Kofod, Christian
Aalborg Universitet Exploring the Design Space of Symbolic Music Genre Classification Using Data Mining Techniques Ortiz-Arroyo, Daniel; Kofod, Christian Published in: International Conference on Computational
MUSICAL STRUCTURAL ANALYSIS DATABASE BASED ON GTTM
MUSICAL STRUCTURAL ANALYSIS DATABASE BASED ON GTTM Masatoshi Hamanaka Keiji Hirata Satoshi Tojo Kyoto University Future University Hakodate JAIST masatosh@kuhp.kyoto-u.ac.jp hirata@fun.ac.jp tojo@jaist.ac.jp
GRADIENT-BASED MUSICAL FEATURE EXTRACTION BASED ON SCALE-INVARIANT FEATURE TRANSFORM
19th European Signal Processing Conference (EUSIPCO 2011) Barcelona, Spain, August 29 - September 2, 2011 GRADIENT-BASED MUSICAL FEATURE EXTRACTION BASED ON SCALE-INVARIANT FEATURE TRANSFORM Tomoko Matsui
Flip Chip Solder Bump Characterization in 3D with X-Ray Microscopy. J. Gelb, A. Gu, L. Hunter, B. Johnson, and W.
Flip Chip Solder Bump Characterization in 3D with X-Ray Microscopy J. Gelb, A. Gu, L. Hunter, B. Johnson, and W. Yun July 11, 2012 3D X-Ray Microscopy (XRM) Integrated Circuit Sample 3D XRM Data Set 1
From Facsimile to Content Based Retrieval: the Electronic Corpus of Lute Music
From Facsimile to Content Based Retrieval: the Electronic Corpus of Lute Music Christoph Dalitz Institut für Mustererkennung Hochschule Niederrhein Reinarzstr. 49, 47805 Krefeld Tim Crawford Goldsmiths
AC : GAINING INTELLECTUAL CONTROLL OVER TECHNI- CAL REPORTS AND GREY LITERATURE COLLECTIONS
AC 2011-885: GAINING INTELLECTUAL CONTROLL OVER TECHNI- CAL REPORTS AND GREY LITERATURE COLLECTIONS Adriana Popescu, Engineering Library, Princeton University c American Society for Engineering Education,
TEN YEARS OF ISMIR: REFLECTIONS ON CHALLENGES AND OPPORTUNITIES
10th International Society for Music Information Retrieval Conference (ISMIR 2009) TEN YEARS OF ISMIR: REFLECTIONS ON CHALLENGES AND OPPORTUNITIES J. Stephen Downie Donald Byrd Tim Crawford University
Aggregating Digital Resources for Musicology
Aggregating Digital Resources for Musicology Laurent Pugin! Musical Scholarship and the Future of Academic Publishing! Goldsmiths, University of London - Monday 11 April 2016 Outline Music Scholarship
Fast thumbnail generation for MPEG video by using a multiple-symbol lookup table
48 3, 376 March 29 Fast thumbnail generation for MPEG video by using a multiple-symbol lookup table Myounghoon Kim Hoonjae Lee Ja-Cheon Yoon Korea University Department of Electronics and Computer Engineering,
LIST OF PUBLISHED STANDARDS
Report : 08-03-7 Of 5 06 80:006/ISO 08:996 709:008/ISO 709:008 Archival paper - Requirements for permanence and durability Format for information exchange 006-03- 008-- 07-03-6 0-07-5 366-:007/ISO 366-:006
A Framework for Segmentation of Interview Videos
A Framework for Segmentation of Interview Videos Omar Javed, Sohaib Khan, Zeeshan Rasheed, Mubarak Shah Computer Vision Lab School of Electrical Engineering and Computer Science University of Central Florida
UCSB Library Collections Survey of Faculty and Graduate Students
UCSB Library Collections Survey of Faculty and Graduate Students 772 Respondents between May 10 th and June 1 st 2012 Demographics [1] University status: Please choose only one of the following: Faculty
Proc. of NCC 2010, Chennai, India A Melody Detection User Interface for Polyphonic Music
A Melody Detection User Interface for Polyphonic Music Sachin Pant, Vishweshwara Rao, and Preeti Rao Department of Electrical Engineering Indian Institute of Technology Bombay, Mumbai 400076, India Email:
Follow the Beat? Understanding Conducting Gestures from Video
Follow the Beat? Understanding Conducting Gestures from Video Andrea Salgian 1, Micheal Pfirrmann 1, and Teresa M. Nakra 2 1 Department of Computer Science 2 Department of Music The College of New Jersey
MDPI Film Processing Harder, Better, Faster, Stronger. Brian Wheeler, Library Technologies Digital Library Brown Bag Series #dlbb April 18, 2018
MDPI Film Processing Harder, Better, Faster, Stronger Brian Wheeler, Library Technologies Digital Library Brown Bag Series #dlbb April 18, 2018 Definitions (in no particular order) 1 Petabyte = 1,000 Terabytes
COMPUTER ENGINEERING SERIES
COMPUTER ENGINEERING SERIES Musical Rhetoric Foundations and Annotation Schemes Patrick Saint-Dizier Musical Rhetoric FOCUS SERIES Series Editor Jean-Charles Pomerol Musical Rhetoric Foundations and
Document Recognition for a Million Books
Search Back Issues Author Index Title Index Contents D-Lib Magazine March 2006 Volume 12 Number 3 ISSN 1082-9873 Document Recognition for a Million Books G. Sayeed Choudhury, Tim DiLauro, Robert Ferguson
Transcription An Historical Overview
Transcription An Historical Overview By Daniel McEnnis 1/20 Overview of the Overview In the Beginning: early transcription systems Piszczalski, Moorer Note Detection Piszczalski, Foster, Chafe, Katayose,
Methods for the automatic structural analysis of music. Jordan B. L. Smith CIRMMT Workshop on Structural Analysis of Music 26 March 2010
1 Methods for the automatic structural analysis of music Jordan B. L. Smith CIRMMT Workshop on Structural Analysis of Music 26 March 2010 2 The problem Going from sound to structure 2 The problem Going
TOWARDS MODELING TEXTURE IN SYMBOLIC DATA
TOWARDS MODELING TEXTURE IN SYMBOLIC DA Mathieu Giraud LIFL, CNRS Univ. Lille 1, Lille 3 Florence Levé MIS, UPJV, Amiens LIFL, Univ. Lille 1 Florent Mercier Univ. Lille 1 Marc Rigaudière Univ. Lorraine
Analysis of Trumpet Tone Quality Using Machine Learning and Audio Feature Selection
Analysis of Trumpet Tone Quality Using Machine Learning and Audio Feature Selection Trevor Alexander Knight Master of Engineering Electrical and Computer Engineering McGill University Montreal, Quebec
How do scoops influence the perception of singing accuracy?
How do scoops influence the perception of singing accuracy? Pauline Larrouy-Maestri Neuroscience Department Max-Planck Institute for Empirical Aesthetics Peter Q Pfordresher Auditory Perception and Action
NLI Update Elhanan Adler, Marina Goldsmith
NLI Update 2012 Elhanan Adler, Marina Goldsmith NLI s Mission and Goals Collect and preserve expressions of Israeli and Jewish culture throughout the generations Provide the finest, up-to-date services
Binning based algorithm for Pitch Detection in Hindustani Classical Music
1 Binning based algorithm for Pitch Detection in Hindustani Classical Music Malvika Singh, BTech 4 th year, DAIICT, 201401428@daiict.ac.in Abstract Speech coding forms a crucial element in speech communications.
Automatically Creating Biomedical Bibliographic Records from Printed Volumes of Old Indexes
Automatically Creating Biomedical Bibliographic Records from Printed Volumes of Old Indexes Daniel X. Le and George R. Thoma National Library of Medicine Bethesda, MD 20894 ABSTRACT To provide online access
Efficient Vocal Melody Extraction from Polyphonic Music Signals
http://dx.doi.org/1.5755/j1.eee.19.6.4575 ELEKTRONIKA IR ELEKTROTECHNIKA, ISSN 1392-1215, VOL. 19, NO. 6, 213 Efficient Vocal Melody Extraction from Polyphonic Music Signals G. Yao 1,2, Y. Zheng 1,2, L.
Harmony and tonality The vertical dimension. HST 725 Lecture 11 Music Perception & Cognition
Harvard-MIT Division of Health Sciences and Technology HST.725: Music Perception and Cognition Prof. Peter Cariani Harmony and tonality The vertical dimension HST 725 Lecture 11 Music Perception & Cognition