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LPC方法提取语音信号共振峰的分析 被引量:13

Analysis of Speech Signal Formant Abstracted by LPC
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摘要 通过对LPC(线性预测编码)方法提取语音信号共振峰进行的研究表明,采用相-频特性与对数幅-频特性同样能提取语音信号共振峰。与对数幅-频特性的二次导数相比,相-频特性的三次导数有更高的频率分辨率,能更有效地解决共振峰合并的问题,提取更精确的共振峰参数。 The study on speech signal formant abstracted by LPC shows that it can also be abstracted by adopting phase-frequency characteristics and logarithmic amplitude-frequency characteristics. Compared with the second derivative of logarithmic amplitude-frequency characteristics, the third derivative of phase-frequency characteristics has better frequency resolution, so it can solve the combination of formant more effectively and abstract formant parameters more precisely.
作者 郁伯康 郁梅
出处 《电声技术》 北大核心 2000年第3期3-8,共6页 Audio Engineering
基金 浙江省自然科学基金!698064
关键词 共振峰 语音信号分析 线性预测编码 formant speech signal linear prediction coding(LPC)
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参考文献9

  • 1L.R.Rabiner,V.B.H.Juang.Fundamentalsof SpeechRecognition.PTR Prentice Hall,1993.
  • 2L.R.Rabiner,R.W.Schafer.Digital Processing of Speech Signals.Prentice Hall,1978.
  • 3J.D.Markel,A.H.Gray,Jr.Linear Prodiction of Speech.Springer-verlag,New York.1976.
  • 4B.S.Atal,S.L.hananer.Speech Analysis and Synthesisby Linear Prediction of theSpeech Ware.J.Am.Acoust.Soc.,1971,50:637-655.
  • 5J.D.Markel.Digital Inverse Filtering A New Toolfor Formant TrajectoryEstimation.IEEE Trans.onAudio and Electroacoustics,1972,20:129-137.
  • 6J.D.Markel.Application of a Digital Inverse Filter forAutomatic Formant and F0Analysis,IEEE Trans.onAudio and Electroacoustics,1973,21:149-153.
  • 7J.Markel.Spectral Analysis of Speech by Linear Prodic-tion.IEEE Trans.on Audio andElectroacoustics,1973,21:140-148.
  • 8S.S.McCandless.An Algorithm for Automatic FormantExtraction Using Linear PredictionSpectra.IEEETrans.on ASSP,April 1974,22:135-141.
  • 9R.L.Christensen,W.J.Sreong,E.P.Palmer.A Comparisonof Three Methods of ExtractingResonance Informationfrom Predictor-coefficient Coded Speech.IEEE Trans.on ASSP1976,24:8-14.

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