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Speech signal processing refers to the acquisition, manipulation, storage, transfer and output of human utterances by a computer. The main goals are the recognition, synthesis and compression of human speech:
Speech recognition (also called voice recognition) focuses on capturing the human voice as a digital sound wave and converting it into a computer-readable format.
Speech synthesis is the reverse process of speech recognition. Advances in this area improve the computers' usability for the visually impaired.
Speech compression is important in the telecommunications area for increasing the amount of info which can be transferred, stored, or heard, for a given set of time and space constraints.
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Books
Multilingual Speech Processing, Edited by Tanja Schultz and Katrin Kirchhoff, April 2006--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
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