The Experts below are selected from a list of 324 Experts worldwide ranked by ideXlab platform
N. Sato - One of the best experts on this subject based on the ideXlab platform.
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Language identification using phonetic and prosodic HMMs with feature normalization
Proceedings. (ICASSP '05). IEEE International Conference on Acoustics Speech and Signal Processing 2005., 2005Co-Authors: Yusuke Obuchi, N. SatoAbstract:Phonetics and prosody are two important factors in automatic language identification. Prosodic HMMs enable language identification systems to use prosodic information in a similar manner to phonetic HMMs. The paper describes how to create prosodic HMMs and implement them in language identification systems. Linear discriminant analysis of the likelihood and N-gram scores of prosodic segment recognition realizes fast and reliable language identification. Moreover, combining prosodic HMMs with phonetic HMMs improves system performance. In this framework, feature normalization techniques that were originally developed for robust speech recognition can be applied to phonetic and prosodic features. Language identification accuracy increases using these techniques in clean and noisy environments.
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ICASSP (1) - Language identification using phonetic and prosodic HMMs with feature normalization
Proceedings. (ICASSP '05). IEEE International Conference on Acoustics Speech and Signal Processing 2005., 2005Co-Authors: Yusuke Obuchi, N. SatoAbstract:Phonetics and prosody are two important factors in automatic language identification. Prosodic HMMs enable language identification systems to use prosodic information in a similar manner to phonetic HMMs. The paper describes how to create prosodic HMMs and implement them in language identification systems. Linear discriminant analysis of the likelihood and N-gram scores of prosodic segment recognition realizes fast and reliable language identification. Moreover, combining prosodic HMMs with phonetic HMMs improves system performance. In this framework, feature normalization techniques that were originally developed for robust speech recognition can be applied to phonetic and prosodic features. Language identification accuracy increases using these techniques in clean and noisy environments.
Yusuke Obuchi - One of the best experts on this subject based on the ideXlab platform.
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Language identification using phonetic and prosodic HMMs with feature normalization
Proceedings. (ICASSP '05). IEEE International Conference on Acoustics Speech and Signal Processing 2005., 2005Co-Authors: Yusuke Obuchi, N. SatoAbstract:Phonetics and prosody are two important factors in automatic language identification. Prosodic HMMs enable language identification systems to use prosodic information in a similar manner to phonetic HMMs. The paper describes how to create prosodic HMMs and implement them in language identification systems. Linear discriminant analysis of the likelihood and N-gram scores of prosodic segment recognition realizes fast and reliable language identification. Moreover, combining prosodic HMMs with phonetic HMMs improves system performance. In this framework, feature normalization techniques that were originally developed for robust speech recognition can be applied to phonetic and prosodic features. Language identification accuracy increases using these techniques in clean and noisy environments.
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ICASSP (1) - Language identification using phonetic and prosodic HMMs with feature normalization
Proceedings. (ICASSP '05). IEEE International Conference on Acoustics Speech and Signal Processing 2005., 2005Co-Authors: Yusuke Obuchi, N. SatoAbstract:Phonetics and prosody are two important factors in automatic language identification. Prosodic HMMs enable language identification systems to use prosodic information in a similar manner to phonetic HMMs. The paper describes how to create prosodic HMMs and implement them in language identification systems. Linear discriminant analysis of the likelihood and N-gram scores of prosodic segment recognition realizes fast and reliable language identification. Moreover, combining prosodic HMMs with phonetic HMMs improves system performance. In this framework, feature normalization techniques that were originally developed for robust speech recognition can be applied to phonetic and prosodic features. Language identification accuracy increases using these techniques in clean and noisy environments.
Dilmurat Tursun - One of the best experts on this subject based on the ideXlab platform.
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Experimental Phonetics B ased Analysis of Semivowels in Uyghur Language
2009 International Joint Conference on Artificial Intelligence, 2009Co-Authors: Askar Hamdulla, Hankiz Yilahun, Dilmurat TursunAbstract:According to the research needs in speech synthesis and speech recognition applications, this paper analysis the acoustic features of semivowel in Uyghur language from the view of experimental Phonetics that some acoustic parameters such as formant, pitch, durations were measured, and finally verified the fact by means of experimental Phonetics analysis method that the semivowels have the typical phonetic features of vowelpsilas in Uyghur language.
Askar Hamdulla - One of the best experts on this subject based on the ideXlab platform.
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A Comparative Analysis of Acoustic Characteristics between Kazak & Uyghur Mandarin Learners and Standard Mandarin Speakers
2019 International Conference on Asian Language Processing (IALP), 2019Co-Authors: Gulnur Arkin, Gvljan Alijan, Askar Hamdulla, Mijit AblimitAbstract:In this paper, based on the vowel and phonological pronunciation corpora of 20 Kazakh undergraduate Mandarin learners, 10 Uyghur learners, and 10 standard pronunciations, under the framework of the phonetic learning model and comparative analysis, the method of experimental Phonetics will be applied to the Kazak and Uyghur learners. The learners and standard speaker Mandarin vowels were analyzed for acoustic characteristics, such as formant frequency values, the vowel duration similarity and other prosodic parameters were compared with the standard speaker. These results are conducive to providing learners with effective teaching-related reference information, providing reliable and correct parameters and pronunciation assessments for computer-assisted language teaching systems (CALLs), as well as improving the accuracy of multinational Chinese Putonghua speech recognition and ethnic identification.
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Acoustic Characteristics of Stops Pronounced by Kazahk Mandarin Learners
2018 3rd International Conference on Smart City and Systems Engineering (ICSCSE), 2018Co-Authors: Mawlanjan Jurat, Gvljan Alijan, Mijit Ablimit, Askar HamdullaAbstract:Based on the data of 20 Kazakh undergraduate Mandarin learners and 10 standard speakers' stop vocal corpus, under the framework of phonetic learning model and comparative analysis theory and the experimental Phonetics, the acoustic characteristics of stops are analyzed for Kazakh learners and standard speakers of Mandarin in this paper. In addition, the data of the stop characteristics of 10 Uyghur learners are compiled, and the comparative experiments on their acoustic characteristics are carried out, so that the characteristics of the difference in the pronunciation for the three type of voices are obtained. These results are useful for providing learners with effective teaching-related reference information and providing reliable, correct parameters and pronunciation assessment for computer-aided language teaching systems (CALL).
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Experimental Phonetics B ased Analysis of Semivowels in Uyghur Language
2009 International Joint Conference on Artificial Intelligence, 2009Co-Authors: Askar Hamdulla, Hankiz Yilahun, Dilmurat TursunAbstract:According to the research needs in speech synthesis and speech recognition applications, this paper analysis the acoustic features of semivowel in Uyghur language from the view of experimental Phonetics that some acoustic parameters such as formant, pitch, durations were measured, and finally verified the fact by means of experimental Phonetics analysis method that the semivowels have the typical phonetic features of vowelpsilas in Uyghur language.
Cecile Fougeron - One of the best experts on this subject based on the ideXlab platform.
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ICPhS - The association of tones in Tashlhiyt Berber.
2020Co-Authors: Martine Grice, Timo B Roettger, Rachid Ridouane, Cecile FougeronAbstract:In this study we investigate the nature and distribution of an Intonation Phrase medial H tone in Tashlhiyt Berber. We analyse it as a right edge tone of an Accentual Phrase with a secondary association to a syllable with a sonorant nucleus. In the absence of such a syllable in the target word, H may align with a transitional vocoid, although its location is highly variable. Since these vocoids have no phonological status, the distribution of H lies at the Phonetics-phonology interface: when H has no secondary association, there could be phonetic pressure to make it audible.
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the association of tones in tashlhiyt berber
ICPHS, 2011Co-Authors: Martine Grice, Timo B Roettger, Rachid Ridouane, Cecile FougeronAbstract:In this study we investigate the nature and distribution of an Intonation Phrase medial H tone in Tashlhiyt Berber. We analyse it as a right edge tone of an Accentual Phrase with a secondary association to a syllable with a sonorant nucleus. In the absence of such a syllable in the target word, H may align with a transitional vocoid, although its location is highly variable. Since these vocoids have no phonological status, the distribution of H lies at the Phonetics-phonology interface: when H has no secondary association, there could be phonetic pressure to make it audible.
