Monaural speech separation based on MAXVQ and CASA for robust speech recognition | |
Li, Peng; Guan, Yong; Wang, Shijin; Xu, Bo; Liu, Wenju | |
刊名 | COMPUTER SPEECH AND LANGUAGE
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2010 | |
卷号 | 24期号:1页码:30-44 |
关键词 | Monaural Speech Separation Computational Auditory Scene Analysis (Casa) Factorial-max Vector Quantization (Maxvq) Automatic Speech Recognition (Asr) |
文献子类 | Article |
英文摘要 | Robustness is one of the most important topics for automatic speech recognition (ASR) in practical applications. Monaural speech separation based on computational auditory scene analysis (CASA) offers a solution to this problem. In this paper, a novel system is presented to separate the monaural speech of two talkers. Gaussian mixture models (GMMs) and vector quantizers (VQs) are used to learn the grouping cues on isolated clean data for each speaker. Given an utterance, speaker identification is firstly performed to identify the two speakers presented in the utterance, then the factorial-max vector quantization model (MAXVQ) is used to infer the mask signals and finally the utterance of the target speaker is resynthesized in the CASA framework. Recognition results on the 2006 speech separation challenge corpus prove that this proposed system can improve the robustness of ASR significantly. (C) 2008 Elsevier Ltd. All rights reserved. |
WOS关键词 | AUDITORY SCENE ANALYSIS ; MAXIMUM-LIKELIHOOD-ESTIMATION ; HIDDEN MARKOV-MODELS ; BIAS REMOVAL ; NOISE ; ADAPTATION |
WOS研究方向 | Computer Science |
语种 | 英语 |
WOS记录号 | WOS:000270630700003 |
内容类型 | 期刊论文 |
源URL | [http://ir.ia.ac.cn/handle/173211/40959] ![]() |
专题 | 数字内容技术与服务研究中心_听觉模型与认知计算 |
推荐引用方式 GB/T 7714 | Li, Peng,Guan, Yong,Wang, Shijin,et al. Monaural speech separation based on MAXVQ and CASA for robust speech recognition[J]. COMPUTER SPEECH AND LANGUAGE,2010,24(1):30-44. |
APA | Li, Peng,Guan, Yong,Wang, Shijin,Xu, Bo,&Liu, Wenju.(2010).Monaural speech separation based on MAXVQ and CASA for robust speech recognition.COMPUTER SPEECH AND LANGUAGE,24(1),30-44. |
MLA | Li, Peng,et al."Monaural speech separation based on MAXVQ and CASA for robust speech recognition".COMPUTER SPEECH AND LANGUAGE 24.1(2010):30-44. |
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