Fundamentals of speech recognition by Juang B. H., Rabiner L.

Fundamentals of speech recognition Juang B. H., Rabiner L. ebook
ISBN: 0132858266,
Page: 544
Format: djvu
Publisher:

Quatieri, “Discrete-time Speech Signal Processing”, Prentice Hall, 2001. Fundamentals of speech recognition Juang B. Another good source can be “Statistical Methods for Speech Recognition” by Frederick Jelinek and “Spoken Language Processing (2001)” by Xuedong Huang etc. Books like “Fundamentals of Speech Recognition” by Lawrence Rabiner can be useful to acquire basic knowledge but may not be fully up to date (1993). Testing compared a single microphone versus a microphone array with nine .. Juang, “Fundamentals of speech recognition”, Prentice Hall, 1993. An emerging technology, Speaker Recognition is becoming well-known for providing voice authentication over the telephone for helpdesks, call centres and other enterprise businesses for business process automation. IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences 2006, E89-A:708-715. Fundamentals of speech recognition. The prototype system was built using a ceiling mounted microphone array, an open-source automatic speech recognition engine, and a 'yes' and 'no' response dialog modelled after an existing call-centre protocol. History The first speech recognizer appeared in 1952 and consisted of a device for the recognition of single spoken digits Another early. And Sons Inc., Singapore, 2004. 6.345 Automatic Speech Recognition 自动语音识别. Fundamentals of speech recognition by Juang B. Beamforming of microphone array using H8 adaptive filtering technique. Fundamentals of Speech Recognition (Prentice Hall Signal Processing Series) Lawrence Rabiner, Biing-Hwang Juan Prentice Hall PTR 1993. Statistical Methods for Speech Recognition. Digital Signal Processing: Principles, Algorithms, and Applications. Teknologi speech recognition dikembangkan dalam aplikasi ini untuk meningkatkan kecepatan dan keakuratan pemilihan operasi kerja yang bersesuaian pada table MTM. Provides a theoretically sound, technically accurate, and complete description of the basic knowledge and ideas that constitute a modern system for speech recognition by machine.