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Speech Enhancement Algorithm of Binary Mask Estimation Based on a Priori SNR Constraints

  • Jie Wang
  • , Chengcheng Yang
  • , Linhuang Yan
  • , Manlu Huang
  • , Jinqiu Sang
  • Guangzhou University
  • CAS - Institute of Acoustics

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

A speech enhancement algorithm using binary mask estimation and a priori SNR constraints is proposed. The a priori SNR estimation has a major impact on noise spectrum estimation function, so the MMSE rule is used to modify the a priori SNR through secondary processing to get more accurate estimated noise power spectrum and gain function, which are used to retain noise over-estimated Time-Frequency units and discard noise under-estimated Time-Frequency units. Experiments results show that the proposed algorithm can improve the intelligibility of speech signals for low SNR.

源语言英语
主期刊名2018 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2018 - Proceedings
出版商Institute of Electrical and Electronics Engineers Inc.
937-943
页数7
ISBN(电子版)9789881476852
DOI
出版状态已出版 - 2 7月 2018
已对外发布
活动10th Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2018 - Honolulu, 美国
期限: 12 11月 201815 11月 2018

出版系列

姓名2018 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2018 - Proceedings

会议

会议10th Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2018
国家/地区美国
Honolulu
时期12/11/1815/11/18

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