Phase-sensitive speech enhancement for cochlear implant processing

In this paper, we present a new approach to enhance noisy speech based on an environmental model incorporating the phase between noise and clean speech (often called phase-sensitive model) in log power spectral domain. Some previous phase-sensitive methods normally assume the phase factor to be a ra...

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Published in2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) pp. 5104 - 5107
Main Authors Jafari, Pourya S., Hou-Yong Kang, Xiaosong Wang, Qian-Jie Fu, Hui Jiang
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.05.2011
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ISBN9781457705380
1457705389
ISSN1520-6149
DOI10.1109/ICASSP.2011.5947505

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Abstract In this paper, we present a new approach to enhance noisy speech based on an environmental model incorporating the phase between noise and clean speech (often called phase-sensitive model) in log power spectral domain. Some previous phase-sensitive methods normally assume the phase factor to be a random variable or set it heuristically. In this work, we assume phase to be an unknown parameter that can be estimated deterministically from data and present an algorithm for its estimation. Words-in-sentences recognition by twelve cochlear implant subjects was tested under six different noisy listening conditions with and without the speech enhancement algorithm. Experimental results show that the proposed phase-sensitive approach significantly improves the recognition of noisy speech and significantly outperforms other conventional phase insensitive methods in all listening conditions.
AbstractList In this paper, we present a new approach to enhance noisy speech based on an environmental model incorporating the phase between noise and clean speech (often called phase-sensitive model) in log power spectral domain. Some previous phase-sensitive methods normally assume the phase factor to be a random variable or set it heuristically. In this work, we assume phase to be an unknown parameter that can be estimated deterministically from data and present an algorithm for its estimation. Words-in-sentences recognition by twelve cochlear implant subjects was tested under six different noisy listening conditions with and without the speech enhancement algorithm. Experimental results show that the proposed phase-sensitive approach significantly improves the recognition of noisy speech and significantly outperforms other conventional phase insensitive methods in all listening conditions.
Author Qian-Jie Fu
Hui Jiang
Jafari, Pourya S.
Hou-Yong Kang
Xiaosong Wang
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  organization: Dept. of Comput. Sci. & Eng., York Univ., Toronto, ON, Canada
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Snippet In this paper, we present a new approach to enhance noisy speech based on an environmental model incorporating the phase between noise and clean speech (often...
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StartPage 5104
SubjectTerms cochlear implant
Cochlear implants
Estimation
log power spectral domain
Noise
Noise measurement
phase-sensitive model
relative phase
Speech
Speech enhancement
Speech recognition
Title Phase-sensitive speech enhancement for cochlear implant processing
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