参考文献
[1]鲁远耀,周妮,肖珂,等.强噪声环境下改进的语音端点检测算法[J].计算机应用,2014,34(5):1386-1390.
[2]董胡.倒谱距离和短时能量的语音端点检测方法研究[J].计算机技术与发展,2014,24(7):77-83.
[3]王帛,冯新喜.一种基于短时倒谱速变率的语音信号平滑端点检测方法[J].现代电子技术,2010(23):92-98.
[4]刘华平,李昕,郑宇,等.一种改进的自适应子带谱熵语音端点检测方法[J].系统仿真学报,2008,20(5):1366-1371.
[5]Wu Di,Zhao Heming,Huang Chengwei,et al.Speech Endpoint Detection in Low-SNRs Environment Based on Perception Spectrogram Structure Boundary Parameter[J].Chinese Journal of Acoustics,2014,33(4):428-440.
[6]陈金龙,范影乐,倪红霞,等.基于小波包分解的含噪语音时频特性分析及端点检测[J].数据采集与处理,2014,29(2):293-297.
[7]Othman H,Abounasr T.A Semi-continuous State Transition Probability HMM-based Voice Activity Detection[C]//Proceedings of IEEE International Con-ference on Acoustics,Speech,and Signal Processing.Montreal,Canada:IEEE Press,2004:821
-824.
[8]Huang N E,Shen Zheng,Long S R,et al.The Empirical Mode Decomposition and the Hilbert Spectrum for Nonlinear and Non-stationary Time Series Analysis[J].Proceedings of the Royal Society A,1998,454(1):903-995.
[9]Lu Zhimao,Liu Baisen,Shen Liran.Speech Endpoint Detection in Strong Noisy Environment Based on the Hilbert-Huang Transform[C]//Proceedings of Inter-national Conference on Mechareonics and Automation.Changchun,China:
[s.n.],2009:4322-4326.
[10]侯丽霞,曾以成,焦蓓.强噪声环境下基于改进HHT的语音端点检测[J].计算机工程与应用,2012,48(28):139-142.
[11]Liu Baisen,Zhang Ye,Zhang Wulin.Speech Endpoint Detection with Low SNR Based on HHTSM[C]//Proceedings of the 11th IEEE International Conference on Electronic Measurement & Instruments.Washington D.C.,USA:IEEE Press,2013:116-119.
[12]卢志茂,金辉,张春祥,等.基于HHT 和OSF 的复杂环境语音端点检测[J].电子与信息学报,2012,34(1):213-217.
[13]申涛,冯刚.强背景噪声下基于HHT 端点检测方法[J].电声技术,2014,38(1):69-72.
[14]宋之用.Matlab在语音信号分析与合成中的应用[M].北京:北京航空航天大学出版社,2013.
[15]Guo Yanmeng,Fu Qiang,Yan Yonghong.Speech Endpoint Detection in Real Noise Environments[J].Chinese Journal of Acoustics,2007,26(1):39-48.
[16]Zhang Dexiang,Wu Xiaopei,Zhao Lü.Speech Endpoint Detection in Noisy Environments Using EMD and Teager Energy Operator[J].Journal of Electronic Science and Technology,2010,6(2):183-186.
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