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.
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