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Doctoral thesis . 2023
License: CC BY NC SA
Data sources: Datacite
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Phase-Aware Speech Enhancement and Dereverberation

Authors: Zhang, Jingshu;

Phase-Aware Speech Enhancement and Dereverberation

Abstract

This thesis aims to investigate the phase estimation problem in speech enhancement and dereverberation.

Noise and reverberation widely exist in daily lives, and have detrimental effects on the quality and

In our initial speech dereverberation experiments, we found an issue in the perceptual evaluation

achieved results similar to the estimated phase in terms of the quality of reconstructed speech.

intelligibility of speech for human listeners. Therefore, speech enhancement and dereverberation

of speech quality (PESQ) measure. When measuring reverberant speech, the cross-correlation-based

We also conducted a listening test to measure the perceptual quality of the produced speech, and

the results showed that our proposed WMP loss function is slightly preferred in terms of speech

this loss function led to an increase in speech quality. We then proposed a non-iterative phase

reconstruction approach and an iterative phase reconstruction approach to reconstruct the phase

Country
United Kingdom
Related Organizations
Keywords

Speech enhancement, Speech dereverberation, Deep learning, Phase processing

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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