Text Independent Language Recognition Using Statistical Approaches - Manchala, Sadanandam;Valurouthu, Kamakshi Prasad;Vinjamuri, Janaki
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Language Identification is one of important speech processing techniques to identify the language of unknown utterance of speech. It is used in several applications like multilingual system, IVRS etc systems in which speech utterances play prominent role. In this book, we explained objectives, challenges of the system and the different phases involved in the system. This book clearly explains important feature vectors and extraction techniques to implement LID. It also explains about variuos statistical approaches like vector quantization, Hidden Markov model and Gaussian Mixture models to…mehr

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Produktbeschreibung
Language Identification is one of important speech processing techniques to identify the language of unknown utterance of speech. It is used in several applications like multilingual system, IVRS etc systems in which speech utterances play prominent role. In this book, we explained objectives, challenges of the system and the different phases involved in the system. This book clearly explains important feature vectors and extraction techniques to implement LID. It also explains about variuos statistical approaches like vector quantization, Hidden Markov model and Gaussian Mixture models to implement the language identification system for Indic Languages and Foreign languages.
Autorenporträt
Dr. M. Sadanandam is working as Assistant Professor in University College of Engineering, Kakatiya University, Warangal Telangana, India. He did his Ph.D program from JNTUH Hyderabad under the guidance of Prof. V. Kamakshi Prasad and Dr V. Janaki; has 15 years of teaching experience in Kakatiya University. He published papers in refered journals.