Expectation-maximisation for speech source separation using convolutive transfer function

Expectation-maximisation for speech source separation using convolutive transfer function

This study addresses the problem of under-determined speech source separation from multichannel microphone signals, i.e. the convolutive mixtures of multiple sources. The time-domain signals are first transformed to the short-time Fourier transform (STFT) domain. To represent the room filters in the...

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Bibliographic Details
Main Authors: Xiaofei Li, Laurent Girin, Radu Horaud
Format: Article
Language:English
Published: Wiley 2019-01-01
Series:CAAI Transactions on Intelligence Technology
Subjects:
speech enhancement
expectation-maximisation algorithm
transfer functions
speech processing
Fourier transforms
microphone arrays
frequency-domain analysis
blind source separation
microphones
convolution
source separation
reverberation
convolutive transfer function
under-determined speech source separation
multichannel microphone signals
convolutive mixtures
multiple sources
time-domain signals
short-time Fourier
(STFT) domain
room filters
STFT domain
widely used narrowband assumption
CTF coefficients
mixing filters
STFT coefficients
Online Access:https://digital-library.theiet.org/content/journals/10.1049/trit.2018.1061

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https://digital-library.theiet.org/content/journals/10.1049/trit.2018.1061

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