A study on the consistency analysis of energy parameter for Mandarin speech
In this study, a consistency analysis of energy parameter for Mandarin speech is presented. Identified as a result of inspection of the human pronunciation process, the consistency can be interpreted as a high correlation of a warping curve between the spectrum and the prosody intra a syllable. Thro...
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Published in | EURASIP journal on audio, speech, and music processing Vol. 2012; no. 1; pp. 1 - 9 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
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Springer International Publishing
17.12.2012
Springer Nature B.V BioMed Central Ltd |
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Abstract | In this study, a consistency analysis of energy parameter for Mandarin speech is presented. Identified as a result of inspection of the human pronunciation process, the consistency can be interpreted as a high correlation of a warping curve between the spectrum and the prosody intra a syllable. Through three steps in the procedure of the consistency analysis, the hidden Markov model (HMM) algorithm is used first to decode HMM-state sequences within a syllable at the same time as to divide them into three segments. Second, based on a designated syllable, the vector quantization (VQ) with the Linde–Buzo–Gray algorithm is used to train the VQ codebooks of each segment. Third, the energy vector of each segment is encoded as an index by VQ codebooks, and then the probability of each possible path is evaluated as a prerequisite to analyze the consistency. It is demonstrated experimentally that a consistency is definitely acquired in case the syllable is located exactly in the same word. These results offer a research direction that the energy warping process intra a syllable must be considered in a text-to-speech system to improve the synthesized speech quality. |
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AbstractList | In this study, a consistency analysis of energy parameter for Mandarin speech is presented. Identified as a result of inspection of the human pronunciation process, the consistency can be interpreted as a high correlation of a warping curve between the spectrum and the prosody intra a syllable. Through three steps in the procedure of the consistency analysis, the hidden Markov model (HMM) algorithm is used first to decode HMM-state sequences within a syllable at the same time as to divide them into three segments. Second, based on a designated syllable, the vector quantization (VQ) with the Linde–Buzo–Gray algorithm is used to train the VQ codebooks of each segment. Third, the energy vector of each segment is encoded as an index by VQ codebooks, and then the probability of each possible path is evaluated as a prerequisite to analyze the consistency. It is demonstrated experimentally that a consistency is definitely acquired in case the syllable is located exactly in the same word. These results offer a research direction that the energy warping process intra a syllable must be considered in a text-to-speech system to improve the synthesized speech quality. In this study, a consistency analysis of energy parameter for Mandarin speech is presented. Identified as a result of inspection of the human pronunciation process, the consistency can be interpreted as a high correlation of a warping curve between the spectrum and the prosody intra a syllable. Through three steps in the procedure of the consistency analysis, the hidden Markov model (HMM) algorithm is used first to decode HMM-state sequences within a syllable at the same time as to divide them into three segments. Second, based on a designated syllable, the vector quantization (VQ) with the Lindeâ[euro]"Buzoâ[euro]"Gray algorithm is used to train the VQ codebooks of each segment. Third, the energy vector of each segment is encoded as an index by VQ codebooks, and then the probability of each possible path is evaluated as a prerequisite to analyze the consistency. It is demonstrated experimentally that a consistency is definitely acquired in case the syllable is located exactly in the same word. These results offer a research direction that the energy warping process intra a syllable must be considered in a text-to-speech system to improve the synthesized speech quality.[PUBLICATION ABSTRACT] Abstract In this study, a consistency analysis of energy parameter for Mandarin speech is presented. Identified as a result of inspection of the human pronunciation process, the consistency can be interpreted as a high correlation of a warping curve between the spectrum and the prosody intra a syllable. Through three steps in the procedure of the consistency analysis, the hidden Markov model (HMM) algorithm is used first to decode HMM-state sequences within a syllable at the same time as to divide them into three segments. Second, based on a designated syllable, the vector quantization (VQ) with the Linde–Buzo–Gray algorithm is used to train the VQ codebooks of each segment. Third, the energy vector of each segment is encoded as an index by VQ codebooks, and then the probability of each possible path is evaluated as a prerequisite to analyze the consistency. It is demonstrated experimentally that a consistency is definitely acquired in case the syllable is located exactly in the same word. These results offer a research direction that the energy warping process intra a syllable must be considered in a text-to-speech system to improve the synthesized speech quality. |
ArticleNumber | 28 |
Author | Shen, Li-Te Hwang, Shaw-Hwa Yeh, Cheng-Yu |
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Cites_doi | 10.1109/TCE.2010.5606343 10.1109/TASL.2009.2035209 10.1121/1.395275 10.1109/5.18626 10.1109/TSA.2002.803437 10.1109/TCE.2009.5174430 10.1016/S0167-6393(00)00075-3 10.1016/j.specom.2009.04.004 10.1109/2.56867 10.1109/29.31286 10.1109/LES.2010.2052019 10.1109/TCOM.1980.1094577 10.1016/0167-6393(90)90021-Z 10.1049/ip-vis:20045095 10.1109/89.668817 10.1155/2009/169819 |
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Copyright | Shen et al.; licensee Springer. 2012. This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The Author(s) 2012 |
Copyright_xml | – notice: Shen et al.; licensee Springer. 2012. This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. – notice: The Author(s) 2012 |
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Keywords | Hidden Markov Model (HMM) Vector quantization (VQ) Speech synthesis Text-to-speech (TTS) Consistency analysis |
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Snippet | In this study, a consistency analysis of energy parameter for Mandarin speech is presented. Identified as a result of inspection of the human pronunciation... Abstract In this study, a consistency analysis of energy parameter for Mandarin speech is presented. Identified as a result of inspection of the human... |
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SubjectTerms | Acoustics Algorithms Consistency Engineering Engineering Acoustics Mandarins Mathematical models Mathematics in Music Segments Signal,Image and Speech Processing Speech Syllables Warping |
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Title | A study on the consistency analysis of energy parameter for Mandarin speech |
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