Put your sound where it belongs: Numerical optimization of sound systems. Stefan Feistel, Bruce C. Olson, Ana M. Jaramillo AFMG Technologies GmbH

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Put your sound where it belongs: Stefan Feistel, Bruce C. Olson, Ana M. Jaramillo Technologies GmbH 166th ASA, San Francisco, 2013 Sound System Design Typical Goals: Complete Coverage High Level and Signal/Noise-Ratio Smooth Frequency Response Efficient Design Dynamic Range and Latency Sophisticated solutions offered by Portable Line Arrays Digitally Steered Columns Acoustic Modeling: EASE, EASE Focus by www..eu 2 1

Typical Design Process Configure System Compute Results Compare with Requirements Concept of Numerical Optimization: Replace trial and error approach by automated runs Use design goals and user requirements to define targets, e.g. areas to be covered, smoothness, SPL, directionality Parameters to be varied: splay angles, delay, gain, filters www..eu 3 Numerical Optimization Venue Data Sound Sources Start Configuration Acoustic Simulation Test Configuration Design Goals Objective Function Optimization No Optimal Result? Yes Final Configuration www..eu 4 2

Numerical Optimization Optimization of FIR filters: FIR filters per array element - flexible and powerful But: parameter space with many dimensions and local minima Impossible to test all configurations ( brute force ) Different optimization algorithms possible: genetic, swarm, gradient, region contraction, Goals: stability, convergence, performance => On-going research www..eu 5 Selection: Case Studies Compact line array with stage exclusion (prediction) Line array in medium-size Hall (measurement) Line array in sports arena (measurement) Optimized with FIRmaker www..eu 6 3

Compact Line Array Setup: 8 Line Array Cabinets, 1x FIR Channel per Cabinet Main Area: Throw Distance 40 m Mechanically Aimed, EASE Focus Model Stage Area below Array to be Avoided www..eu 7 500 Hz Octave No Optimization 91.6 db ± 2.9 db 87.3 db ± 0.9 db 89 db 60 db www..eu 8 4

1000 Hz Octave No Optimization 91.2 db ± 2.5 db 88.4 db ± 0.7 db 86 db 57 db www..eu 9 2000 Hz Octave No Optimization 89.5 db ± 2.8 db 85.4 db ± 0.7 db 85 db 61 db www..eu 10 5

4000 Hz Octave No Optimization 85.5 db ± 2.4 db 81.2 db ± 0.3 db 78 db 59 db www..eu 11 Frequency Response No Optimization Stage Main Area 75dB Side Lobes Main Area Stage 50 db www..eu 12 6

Line Array in Medium Size Hall Optimization: Smooth frequency response across the hall Full bandwidth 60 Hz to 16 khz 1x FIR filter per Cabinet 104 measurement positions over 26 m www..eu 13 Line Array in Medium Size Hall Without FIRmaker Back of Hall Much smoother coverage Front of Hall Consistent response over 25 m Standard Deviation across Hall Frequency Lower standard deviation Effective up to 8 khz www..eu 14 7

Line Array in Sports Arena *Measurements supported by d&b audiotechnik Optimization: Smooth frequency response across the hall Stage area to be avoided Even intelligibility across hall Full bandwidth 60 Hz to 16 khz 1x FIR per cabinet 140 measurement positions over 70 m www..eu 15 Back of Hall Line Array in Sports Arena Without FIRmaker Smooth coverage Consistent response over 65 m Front of Hall Standard Deviation across Hall Frequency Lower standard deviation Effective up to 13 khz www..eu 16 8

Line Array in Sports Arena SPL Reduction on Stage Area Back Rows Front Rows Empty Area Stage Area www..eu 17 Line Array in Sports Arena Avoiding the Stage Back of Hall Stage Without Front of Hall Stage Area With FIRmaker www..eu 18 9

Line Array in Sports Arena Improvement in SPL and STI distributions www..eu 19 Technical Requirements Requirements: FIR-capable controller or processor, FIR size > 250 taps (at 48 khz) High-resolution GLL modeling data for loudspeaker cabinets / transducers DSP channels: Per cabinet Per transducer Per group of cabinets, e.g. pairs Limitations: HF: Spacing of controlled sources, mechanical accuracy, coherence LF: Source length, modeling accuracy (diffraction effects) FIR: Dynamic range, tap count, latency www..eu 20 10

Conclusions Conclusions: Numerical optimization for modern sound systems, especially loudspeaker arrays (licensed by manufacturers) Based on high-resolution acoustic simulation and efficient optimization algorithm Critical: definition of objective function Offers substantially increased coverage control as well as SPL and STI improvements Already effective using 1 FIR channel per cabinet (mechanical arrays) Applicable to existing array designs and even already installed systems Limitations are given by array size, DSP hardware and modeling accuracy www..eu 21 Put your sound where it belongs: Stefan Feistel, Bruce C. Olson, Ana M. Jaramillo Technologies GmbH 166th ASA, San Francisco, 2013 11