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Man-Machine Speech Communication [[electronic resource] ] : 14th National Conference, NCMMSC 2017, Lianyungang, China, October 11–13, 2017, Revised Selected Papers / / edited by Jianhua Tao, Thomas Fang Zheng, Changchun Bao, Dong Wang, Ya Li



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Titolo: Man-Machine Speech Communication [[electronic resource] ] : 14th National Conference, NCMMSC 2017, Lianyungang, China, October 11–13, 2017, Revised Selected Papers / / edited by Jianhua Tao, Thomas Fang Zheng, Changchun Bao, Dong Wang, Ya Li Visualizza cluster
Pubblicazione: Singapore : , : Springer Singapore : , : Imprint : Springer, , 2018
Edizione: 1st ed. 2018.
Descrizione fisica: 1 online resource (XII, 143 p. 49 illus.)
Disciplina: 410.285
Soggetto topico: Pattern recognition
Natural language processing (Computer science)
Signal processing
Image processing
Speech processing systems
Artificial intelligence
User interfaces (Computer systems)
Pattern Recognition
Natural Language Processing (NLP)
Signal, Image and Speech Processing
Artificial Intelligence
User Interfaces and Human Computer Interaction
Persona (resp. second.): TaoJianhua
ZhengThomas Fang
BaoChangchun
WangDong
LiYa
Nota di contenuto: Challenging issues in speech recognition and enhancement -- Speaker and language recognition, speech synthesis -- Corpus and phonetic in speech technology -- Speech generation, speech analyzing and modelling -- Speech processing of ethnic minorities -- Speech emotion recognition -- Audio signal processing.
Sommario/riassunto: This book constitutes the refereed proceedings of the 14th National Conference on Man-Machine Speech Communication, NCMMSC 2017, held in Lianyungang, China, in October 2017.  The 13 revised full papers presented were carefully reviewed and selected from 39 submissions. The papers address issues such as challenging issues in speech recognition and enhancement, speaker and language recognition, speech synthesis, corpus and phonetic in speech technology, speech generation, speech analyzing and modelling, speech processing of ethnic minorities, speech emotion recognition and audio signal processing.
Titolo autorizzato: Man-Machine Speech Communication  Visualizza cluster
ISBN: 981-10-8111-5
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910299300403321
Lo trovi qui: Univ. Federico II
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Serie: Communications in Computer and Information Science, . 1865-0929 ; ; 807