Speech enhancement using end-to-end speech recognition objectives

Aswin Shanmugam Subramanian, Xiaofei Wang, Murali Karthick Baskar, Shinji Watanabe, Toru Taniguchi, Dung Tran, Yuya Fujita

研究成果: Conference contribution

6 被引用数 (Scopus)

抄録

Speech enhancement systems, which denoise and dereverberate distorted signals, are usually optimized based on signal reconstruction objectives including the maximum likelihood and minimum mean square error. However, emergent end-to-end neural methods enable to optimize the speech enhancement system with more application-oriented objectives. For example, we can jointly optimize speech enhancement and automatic speech recognition (ASR) only with ASR error minimization criteria. The major contribution of this paper is to investigate how a system optimized based on the ASR objective improves the speech enhancement quality on various signal level metrics in addition to the ASR word error rate (WER) metric. We use a recently developed multichannel end-to-end (ME2E) system, which integrates neural dereverberation, beamforming, and attention-based speech recognition within a single neural network. Additionally, we propose to extend the dereverberation sub network of ME2E by dynamically varying the filter order in linear prediction by using reinforcement learning, and extend the beamforming subnetwork by incorporating the estimation of a speech distortion factor. The experiments reveal how well different signal level metrics correlate with the WER metric, and verify that learning-based speech enhancement can be realized by end-to-end ASR training objectives without using parallel clean and noisy data.

本文言語English
ホスト出版物のタイトル2019 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, WASPAA 2019
出版社Institute of Electrical and Electronics Engineers Inc.
ページ234-238
ページ数5
ISBN(電子版)9781728111230
DOI
出版ステータスPublished - 2019 10
外部発表はい
イベント2019 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, WASPAA 2019 - New Paltz, United States
継続期間: 2019 10 202019 10 23

出版物シリーズ

名前IEEE Workshop on Applications of Signal Processing to Audio and Acoustics
2019-October
ISSN(印刷版)1931-1168
ISSN(電子版)1947-1629

Conference

Conference2019 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, WASPAA 2019
CountryUnited States
CityNew Paltz
Period19/10/2019/10/23

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Computer Science Applications

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