Block-Based Perceptually Adaptive Sound Zones With Reproduction Error Constraints

Sound zone algorithms control the inputs to a loudspeaker array such that spatially distinct zones, each with separate audio content, are created. This work proposes a sound zone approach which includes a model of human auditory perception in the optimization problem designing the loudspeaker contro...

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Veröffentlicht in:IEEE/ACM transactions on audio, speech, and language processing Jg. 32; S. 3090 - 3100
Hauptverfasser: de Koeijer, Niels, Moller, Martin Bo, Martinez, Jorge, Martinez-Nuevo, Pablo, Hendriks, Richard C.
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Piscataway IEEE 2024
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:
Adaptation models
Adaptive control
Aerospace electronics
Algorithms
Auditory perception
Convolution
Distortion
Loudspeakers
Optimization
perceptual masking models
sound field control
Sound filters
Sound pressure
Sound zones
Speech processing
ISSN:2329-9290, 2329-9304
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Zusammenfassung:Sound zone algorithms control the inputs to a loudspeaker array such that spatially distinct zones, each with separate audio content, are created. This work proposes a sound zone approach which includes a model of human auditory perception in the optimization problem designing the loudspeaker control filters. The control filters are therefore optimized directly for human experience, rather than by proxy through sound pressure, as is done in typical approaches. The proposed optimization problem features a perceptually weighted constraint on the bright zone reproduction error, which allows the user of the algorithm to specify the desired bright zone quality. The proposed method achieves 2 to 4 dB of additional acoustic contrast and is expected to yield less distracting dark-zone interference for the same perceived quality when compared to a traditional approach.
Bibliographie:ObjectType-Article-1
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ISSN:2329-9290
2329-9304
DOI:10.1109/TASLP.2024.3407487