CASIA OpenIR  > 模式识别国家重点实验室  > 语音交互
Efficient voice activity detection algorithm based on sub-band temporal envelope and sub-band long-term signal variability
Liu B(刘斌)1; Tao JH(陶建华)1; Mo FY(莫福源)2; Wen ZQ(温正棋)1; Liu SF(刘善峰)1
2014-09
Conference NameThe 9th International Symposium on Chinese Spoken Language Processing(ISCSLP)
Conference Date12-14 Sept. 2014
Conference PlaceSingapore
Indexed ByEI
Document Type会议论文
Identifierhttp://ir.ia.ac.cn/handle/173211/19866
Collection模式识别国家重点实验室_语音交互
Affiliation1.中国科学院自动化研究所,模式识别国家重点实验室
2.中国科学院声学研究所
Recommended Citation
GB/T 7714
Liu B,Tao JH,Mo FY,et al. Efficient voice activity detection algorithm based on sub-band temporal envelope and sub-band long-term signal variability[C],2014.
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