燕山大学学报Issue(2)：133-138,6.DOI:10.3969/j.issn.1007-791X.2015.02.006
自适应抗噪的清／浊／静音判决算法
Adaptive anti-noise unvoiced/voiced/silence detection algorithm
摘要
Abstract
The Unvoiced/ Voiced/ Silence detection UVS provides a preliminary acoustic segment which is a key parameter in speech compression synthesis and recognition.The complication of traditional UVS methods training procedure causes low efficiency of speech vocoder.To solve this problem a UVS detection without training proceeding is proposed in this paper.After new characteristic parameters of unvoiced and voiced signal are extracted adaptable threshold is proposed based on the correlation of those parameters.With its perfect an⁃ti⁃noise ability the correct rate of this detection improves sharply.The simulation result shows that this algorithm not only simplifies the unvoiced/ voiced/ silence detection but also efficiently decreases 10% of unvoiced and maintains lower than 4% of voiced discrimination error.The improved 0.6 kbps MELP vocoder applying this detection algorithm gets a 0.3 higher PESQ score and better synthetic speech performance compared with original vocoder which produces good natural and intelligible speech.关键词
模式识别/清/浊/静音判决/自适应阈值/低信噪比/低速率语音编码Key words
pattern recognition/unvoiced/voiced/silence detection adaptive threshold/low SNR/low bit-rate speech coding分类
信息技术与安全科学引用本文复制引用
李荣芸,赵晓群,徐静云..自适应抗噪的清／浊／静音判决算法[J].燕山大学学报,2015,(2):133-138,6.基金项目
国家自然科学基金资助项目 （）
