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基于谱熵的语音检测

吴启晖 王金龙

吴启晖, 王金龙. 基于谱熵的语音检测[J]. 电子与信息学报, 2001, 23(10): 989-993.
引用本文: 吴启晖, 王金龙. 基于谱熵的语音检测[J]. 电子与信息学报, 2001, 23(10): 989-993.
Wu Qihui, Wang Jinlong. VOICE DETECTION BASED ON SPECTRAL ENTROPY[J]. Journal of Electronics & Information Technology, 2001, 23(10): 989-993.
Citation: Wu Qihui, Wang Jinlong. VOICE DETECTION BASED ON SPECTRAL ENTROPY[J]. Journal of Electronics & Information Technology, 2001, 23(10): 989-993.

基于谱熵的语音检测

VOICE DETECTION BASED ON SPECTRAL ENTROPY

  • 摘要: 根据离散余弦变换(DCT)特性和最大离散熵定理,该文提出利用短时语音余弦变换谱的谱熵进行语音信号检测(Voice activity detection)。在强噪声环境下,传统的能量,过零率,相关等检测方法将会失效,而谱熵法则具有稳健的抗噪特性。计算机模拟显示这是一种比较好的抗噪语音检测方案.
  • F. Beritelli, S. Casale, A. Cavallaro, A robust voice activity detector for wireless communications using soft computing, IEEE J. on SAC, 1998, SAC-16(9), 1818-1829.[2]R.V. Cox, P. Kroon, Low bit-rate speech coders for multimedia communication, IEEE Commun.Mag., 1996, 34(1), 34-41.[3]Qualcomm, Inc., Digital Cellular System CDMA Analog Dual-Mode Mobile Station-Base Station Compatibility Standard, March 5, 1992.[4]L.R. Rabiner, On the use of autocorrelation analysis for pitch detection, IEEE Trans. on Acoust.,Speech, Signal Processing, 1977, ASSP-25(1), 24-33.[5]S. Seneff, Real-time harmonic pitch detector, IEEE Trans. on Acoust, Speech, Signal Processing,1978, ASSP-26(2), 358-365.[6]A. Bendiksen.[J].K. Steiglitz, Neural networks for voiced/unvoiced speech classification, ICASSP90.,Bonn, Germany.1990,:-[7]高文,多媒体数据压缩技术,北京:电子工业出版社,1992,48[8]Byeong Gi Lee, A new algorithm to compute the discrete cosine transform, IEEE Trans. on Acoust., Speech, Signal Processing, 1984, ASSP-32(6), 1243-1245.[9]N. Ahmed, T. Natarajan, K. R. Rao, Discrete cosine transform, IEEE Trans. on Computer, 1974,C-23(1), 90-93.[10]傅祖芸,信息论基础,北京:电子工业出版社,1989年,23.
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出版历程
  • 收稿日期:  1999-10-19
  • 修回日期:  2000-04-07
  • 刊出日期:  2001-10-19

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