Home >

news ヘルプ

論文・著書情報


タイトル
和文: 
英文:A Novel Voice Activity Detection Algorithm using Long-Term Spectral Flatness Measure 
著者
和文: MaYanna, 西原明法.  
英文: Yanna Ma, AKINORI NISHIHARA.  
言語 English 
掲載誌/書名
和文: 
英文:2013 RISP International Workshop on Nonlinear Circuits, Communications and Signal Processing 
巻, 号, ページ        
出版年月 2013年 
出版者
和文: 
英文: 
会議名称
和文: 
英文:2013 RISP International Workshop on Nonlinear Circuits, Communications and Signal Processing 
開催地
和文: 
英文:The island of Hawaii 
ファイル
アブストラクト This paper proposed a novel and robust voice activity detection (VAD) algorithm utilizing long-term spectral flatness measure (LSFM) which is capable of working at very low signal-to-noise ratios (less than 10 dB). The proposed algorithm was evaluated under eleven types of noises from NOISEX-92 and five types of SNR in core TIMIT TEST corpus. Comparisons with three modern standardized algorithms (ETSI AMR option 1&2 and ITU-T G.729 Annex B) demonstrate that our proposed LSFM-based VAD scheme achieved highest speech hit rate among the four algorithms while keeping good hit rate balance between speech hit rate and nonspeech hit rate.

©2007 Tokyo Institute of Technology All rights reserved.