Spectral-domain speech enhancement for speech recognition

Spectral-domain speech enhancement for speech recognition
Title:
Spectral-domain speech enhancement for speech recognition
Other Titles:
Speech Communication
Keywords:
Publication Date:
26 August 2017
Citation:
Chang Huai YOU, Bin MA, Spectral-domain speech enhancement for speech recognition, In Speech Communication, Volume 94, 2017, Pages 30-41, ISSN 0167-6393, https://doi.org/10.1016/j.specom.2017.08.007. (http://www.sciencedirect.com/science/article/pii/S0167639317300869) Keywords: Speech enhancement; Speech recognition; A priori SNR
Abstract:
Speech recognition performance deteriorates in face of unknown noise. Speech enhancement offers a solution by reducing the noise in speech at runtime. However, it also introduces artificial distortion to the speech signal. In this paper, we aim at reducing the artifacts that have adverse effects on speech recognition. With this motivation, we propose a modification scheme including a smoothing adaptation to frame signal-to-noise ratio (SNR) and a reestimation of \textit{a priori} SNR for spectral-domain speech enhancement. The experiment shows that the proposed scheme of enhancement significantly improves the performance of the state-of-the-art speech recognition over the baseline speech enhancement techniques.
License type:
http://creativecommons.org/licenses/by-nc-nd/4.0/
Funding Info:
Institute for Infocomm Research
Description:
ISSN:
0167-6393
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