文件名称:voicedandunvoiced
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一些区分浊音、清音和无声的文章，其中有较早的70几年的早期文章，也有后面新的方法-some distinction, silent and strong. Article, which 70 years earlier in the early articles, there are new ways behind
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A fast neural net training algorithm and its application to voiced-unvoiced-silence classification of speech.pdf
A mapping neural network and its application to voiced-unvoiced-silence classification.pdf
A pattern recognition approach to voiced-unvoiced-silence classification with applications to speech recognition.pdf
A Semiautomatic Pitch Detector .pdf
Application of an LPC distance measure to the voiced-unvoiced-silence detection problem.pdf
Generalized likelihood ratio test for voiced unvoiced decision using the harmonic plus noise model.pdf
Generalized Likelihood Ratio Test for Voiced-Unvoiced Decision in Noisy Speech Using the Harmonic Model.pdf
Real time speech classification and pitch detection.pdf
Real-time robust pitch detector.pdf
Towards a robust fast continuous speech recognition system using a voiced-unvoiced decision.pdf
Voiced-unvoiced-silence classification of speech using neural nets.pdf
Voiced-unvoiced-silence classifications of speech using hybrid features and a network classifier.pdf
A mapping neural network and its application to voiced-unvoiced-silence classification.pdf
A pattern recognition approach to voiced-unvoiced-silence classification with applications to speech recognition.pdf
A Semiautomatic Pitch Detector .pdf
Application of an LPC distance measure to the voiced-unvoiced-silence detection problem.pdf
Generalized likelihood ratio test for voiced unvoiced decision using the harmonic plus noise model.pdf
Generalized Likelihood Ratio Test for Voiced-Unvoiced Decision in Noisy Speech Using the Harmonic Model.pdf
Real time speech classification and pitch detection.pdf
Real-time robust pitch detector.pdf
Towards a robust fast continuous speech recognition system using a voiced-unvoiced decision.pdf
Voiced-unvoiced-silence classification of speech using neural nets.pdf
Voiced-unvoiced-silence classifications of speech using hybrid features and a network classifier.pdf