计算机科学 ›› 2017, Vol. 44 ›› Issue (5): 304-307.doi: 10.11896/j.issn.1002-137X.2017.05.056
张毅,王可佳,席兵,颜博
ZHANG Yi, WANG Ke-jia, XI Bing and YAN Bo
摘要： 准确地识别语音端点是语音识别过程中的一个重要步骤。在低信噪比环境下,为更好地增强语音和噪声的区分度,提高语音端点检测系统的准确率,在分析了常规子带谱熵端点检测算法的基础上结合子带能量,提出了一种基于子带能熵比的语音端点检测算法。该算法将子带能量和子带谱熵的比值作为端点检测的重要参数,以此设定阈值进行语音端点的检测。实验表明,该算法快速高效,具有较高的鲁棒性,在较低的信噪比环境下能准确地进行语音端点检测。
| [1] CAO Y L,LA D S,JIA S,et al.A speech Endpoint Detection Algorithm Based on Wavelet Transforms[C]∥Control and Decision Conference(2014 CCDC).2014:3010-3012. [2] MAJSTOROVIC N,ANDRIC M,MIKLUC D.Entropy-based-algorithm for speech recognition in noisy environment[C]∥Te-lecommunication forum.2011:667-670. [3] LU Y U,ZHOU N,XIAO K,et al.Improved speech endpoint detection algorithm in strong noise environment[J].Journal of Computer Applications,2014,4(5):1386-1390.(in Chinese) 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. [4] FU J,WANG S W,CAO X L.The Research on Speech Endpoint Detection Algorithm Based on Spectrogram Row Self-correlation[C]∥International Conference on Computer Science and Network Technology.IEEE,2012:212-216. [5] KYRIAKIEDS A,PITRIS C,SPANIANS A.Isolated WordEndpoint Detection using Time-Frequency Variance Kernels[C]∥IEEE Trans.on Signal,Systems and Computers.2011:1041-1045. [6] ZHAO X Y,WANG L L,PENG L Z.Adaptive Cepstral Dis-tance-based Voice Endpoint Detection of Strong Noise[J].Computer Science,2015,42(9):83-86.(in Chinese) 赵新燕,王炼红,彭林哲.基于自适应倒谱距离的强噪声语音端点检测[J].计算机科学,2015,42(9):83-86. [7] SHEN J L,HUNG J W,LEE L S.Robust Entropy-based Endpoint Detection for Speech Recognition in Noisy Environments[C]∥Proceedings of International Conference on Spoken Language Processing.IEEE ,1998:232-235. [8] WU B F,WANG K C.Robust Endpoint Detection AlgorithmBased on the Adaptive Band-Portioning Spectral Entropy in Adverse Environments[J].IEEE Transactions on Speech and Audio Processing,2005,3(5):762-775. [9] WANG L,LI C R.An Improved Speech Endpoint DetectionMethod Based on Adaptive Band-paritition Spectral Entropy[J].Computer Simulation,2010,27(12):373-375.(in Chinese) 王琳,李成荣.一种基于自适应谱熵的端点检测改进方法[J].计算机仿真,2010,27(12):373-375. [10] MORADI N,NASERSHARIF B,AKBARI A.Robust speechrecognition using compression of Mei sub-bandenergies and temporal filtering[C]∥International Symposium on Telecommunications.2010:760-764. [11] ZHU C M,TIAN L F,LI X Y,et al.Recognition of Cough Using Features Improved by Sub-band Energy Transformation[C]∥International Conference on Biomedical Engineering and Informatics.2013:251-255. |
| No related articles found! |
|
||
首页