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Multilingual Speech Processing
Delivers essential research demolishing language barriers and strengthening voice recognition technology!
Tanja Schultz (Edited by), Katrin Kirchhoff (Edited by)
9780120885015, Elsevier Science
Hardback, published 12 June 2006
536 pages, Illustrated
22.9 x 15.1 x 3.1 cm, 0.97 kg
"Researchers and developers in industry and academia with different backgrounds will find this book an excellent overview of research problems and solutions" --J. Audio Eng. Soc., July/August 2006
Tanja Schultz and Katrin Kirchhoff have compiled a comprehensive overview of speech processing from a multilingual perspective. By taking this all-inclusive approach to speech processing, the editors have included theories, algorithms, and techniques that are required to support spoken input and output in a large variety of languages. Multilingual Speech Processing presents a comprehensive introduction to research problems and solutions, both from a theoretical as well as a practical perspective, and highlights technology that incorporates the increasing necessity for multilingual applications in our global community. Current challenges of speech processing and the feasibility of sharing data and system components across different languages guide contributors in their discussions of trends, prognoses and open research issues. This includes automatic speech recognition and speech synthesis, but also speech-to-speech translation, dialog systems, automatic language identification, and handling non-native speech. The book is complemented by an overview of multilingual resources, important research trends, and actual speech processing systems that are being deployed in multilingual human-human and human-machine interfaces. Researchers and developers in industry and academia with different backgrounds but a common interest in multilingual speech processing will find an excellent overview of research problems and solutions detailed from theoretical and practical perspectives.
CH 1: Introduction / CH 2: Language Characteristics / CH 3: Linguistic Data Resources / CH 4: Multilingual Acoustic Modeling / CH 5: Multilingual Dictionaries / CH 6: Multilingual Language Modeling / CH 7: Multilingual Speech Synthesis / CH 8: Automatic Language Identification / CH 9: Other Challenges / CH 10: Speech-to-Speech Translation / CH 11: Multilingual Spoken Dialog Systems / Bibliography
Subject Areas: Human-computer interaction [UYZ], Audio processing [UYU], Signal processing [UYS], Natural language & machine translation [UYQL], Electrical engineering [THR], Computational linguistics [CFX]
