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文章基本信息

  • 标题:Speech Signal Recovery Based on Source Separation and Noise Suppression
  • 本地全文:下载
  • 作者:Zhe Wang ; Haijian Zhang ; Guoan Bi
  • 期刊名称:Journal of Computer and Communications
  • 印刷版ISSN:2327-5219
  • 电子版ISSN:2327-5227
  • 出版年度:2014
  • 卷号:02
  • 期号:09
  • 页码:112-120
  • DOI:10.4236/jcc.2014.29015
  • 语种:English
  • 出版社:Scientific Research Publishing
  • 摘要:In this paper, a speech signal recovery algorithm is presented for a personalized voice command automatic recognition system in vehicle and restaurant environments. This novel algorithm is able to separate a mixed speech source from multiple speakers, detect presence/absence of speakers by tracking the higher magnitude portion of speech power spectrum and adaptively suppress noises. An automatic speech recognition (ASR) process to deal with the multi-speaker task is designed and implemented. Evaluation tests have been carried out by using the speech da- tabase NOIZEUS and the experimental results show that the proposed algorithm achieves impressive performance improvements.
  • 关键词:Speech Recovery; Time-Frequency Source Separation; Adaptive Noise Suppression; Automatic Speech Recognition
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