期刊文献+

基于语音频谱的共振峰声码器实现 被引量:2

Design of a New Formant Vocoder Based on Speech Spectrogram
在线阅读 下载PDF
导出
摘要 共振峰声码器因其在理论上具有最低码率而一直是参数语音编码算法研究的重点。共振峰编码器的关键算法是基频和共振峰等语音参数的提取。在高分辨率语谱图基础上,利用语音信号的频域特性设计了一种简单有效的基频和共振峰提取算法。通过评价重建语音信号的音质,证明了参数提取算法的准确性。根据语音实验确定编码参数包含基频和前4个共振峰,并在保证语音质量的前提下制定各参数的量化指标。应用实际语音信号对算法的性能进行测试,试验结果证明算法在码率为1 400 b/s时具有良好的语音质量。 Formant vocoder, which has the least coding rate on the theory,is the focus of speech coding. The fundament frequency and formant extraction is the first and the most important step in formant vocoder. An algorithm for the fundamental and formants extraction is designed in accordance with the future of speech spectrum. The algorithm is tested by reconstructing the speech signal using the value of fundamental frequency and formants which is extracted,and the result shows that the parameters'alue is accuracy. The fundamental frequency and four formants is coded, the quantification of each parameters is made after speech experimentation. The vocoder has good quality when the coding rate is 1 400 b/s.
作者 王坤赤 蒋华
出处 《现代电子技术》 2007年第21期168-170,共3页 Modern Electronics Technique
基金 江苏省高校自然科学基础研究项目(06kjb510089)
关键词 共振峰语音编码 基频 共振峰 谐波合成 formant vocoder fundamental frequency formant harmonics model
  • 相关文献

参考文献4

  • 1Rabiner L R.Applications of Voice Processing to Telecommunications[J].Proc.of IEEE,1994,82 (2):199-228.
  • 2Sylvain Marchand.An Efficient Pitch-tracking Algorithm Using a Combination of Fourier Transforms[C].Proceedings of the COST G-6 Conference on Digital Audio Effects (DAFX-01),Limerick,Ireland,2001:6-8.
  • 3吴宗济.实验语音学概要[M].北京:高等教育出版社,1987..
  • 4徐正伟,汤静.语音信号及其编译码算法的研究[J].电声技术,2002,26(4):7-10. 被引量:2

二级参考文献1

共引文献8

同被引文献21

  • 1李永宏,孔江平,于洪志.藏语文-音自动规则转换及其实现[J].清华大学学报(自然科学版),2008,48(S1):621-626. 被引量:20
  • 2Hess W. Pitch determination of speech signals. Berlin: Springer-Verlag, 1983.
  • 3Boersma P. Accurate Short-term Analysis of the Fundamental Frequency and the Harmonics-to-noise Ratio of a Sampled sound. In: Proc. of the Institute of Phonetic Sciences of the University of Amsterdam 17, 1993, 97--110.
  • 4Kobayashi H, Shimamura T. A Modified Cepstrum Method for Pitch Extraction. In: The 1998 IEEE Asia- Pacific Conference on Circuits and Systems, 1998, 299-302.
  • 5Ahmadi S, Spanias A S. Cepstrum-Based Pitch Detection Using a New Statistical V/UV Classification Algorithm. IEEE Transactions on Speech and Audio Processing, 1999, 7(3): 333-338.
  • 6Kadambe S, Boudreaux-Bartels, G. F. Application of the Wavelet Transform for Pitch detection of Speech Signals. IEEE Transactions on Information Theory, 1992, 38 (2) : 917-924.
  • 7COLE R A, YANG Hong-yan, MAK B, et al. The contribution of consonants versus vowels to word recognition in fluent speech [ C]//Proc ICASSP 1996. Atlanta: IEEE, 1996: 853.
  • 8KEWLEY-PORT K, BURKLE Z, LEE Jae Hee. Contribution of consonant versus vowel information to sentenceintelligibility for young normal-hearing and elderly hearing-impairedlisteners [J]. Acoustical Society of America, 2007, 122(4): 2365.
  • 9LEWICHI M S. A signal take on speech [J].Nature, 2010, 466(12): 821.
  • 10鲍长春,樊昌信.基于归一化互相关函数的基音检测算法[J].通信学报,1998,19(10):27-31. 被引量:42

引证文献2

二级引证文献8

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部