Wavelet-based spatial audio framework : from ambisonics to wavelets: a novel approach to spatial audio

Ambisonics is a complete theory for spatial audio whose building blocks are the spherical harmonics. Some of the drawbacks of low order Ambisonics, like poor source directivity and small sweet-spot, are directly related to the properties of spherical harmonics. In this thesis we illustrate a novel s...

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Detalhes bibliográficos
Autor: Scaini, Davide
Formato: tesis doctoral
Estado:Versión publicada
Fecha de publicación:2019
País:España
Recursos:CBUC, CESCA
Repositorio:TDR. Tesis Doctorales en Red
OAI Identifier:oai:www.tdx.cat:10803/668214
Acesso em linha:http://hdl.handle.net/10803/668214
Access Level:acceso abierto
Palavra-chave:Wavelets
Ambisonics
Lifting scheme
Wavelet optimization
Ambisonics decoding
Spatial audio
Spherical audio format
Spatial downsampling
Decoding to speakers
Ondetes
Optimització de ondetes
Decodificació d'ambisonics
Àudio espacial
Format d'àudio esfèric
Mostreig espacial
Descodificació a altaveus
62
Descrição
Resumo:Ambisonics is a complete theory for spatial audio whose building blocks are the spherical harmonics. Some of the drawbacks of low order Ambisonics, like poor source directivity and small sweet-spot, are directly related to the properties of spherical harmonics. In this thesis we illustrate a novel spatial audio framework similar in spirit to Ambisonics that replaces the spherical harmonics by an alternative set of functions with compact support: the spherical wavelets. We develop a complete audio chain from encoding to decoding, using discrete spherical wavelets built on a multiresolution mesh. We show how the wavelet family and the decoding matrices to loudspeakers can be generated via numerical optimization. In particular, we present a decoding algorithm optimizing acoustic and psychoacoustic parameters that can generate decoding matrices to irregular layouts for both Ambisonics and the new wavelet format. This audio workflow is directly compared with Ambisonics.