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Most of the speech communication applications viz. telephony, hands-free communication, voice recording, automatic speech recognition, interactive voice response system, human-machine interfaces, etc. that require at least one microphone, the desired speech signal is usually contaminated by background noise and reverberation. As a result, the speech signal has to be "cleaned" with digital signal processing tools before it is played out, transmitted, or stored. An attempt has been made here to explain the requirements and scope of improvements in the field of speech enhancement and its real-time embedded implementation.…mehr

Produktbeschreibung
Most of the speech communication applications viz. telephony, hands-free communication, voice recording, automatic speech recognition, interactive voice response system, human-machine interfaces, etc. that require at least one microphone, the desired speech signal is usually contaminated by background noise and reverberation. As a result, the speech signal has to be "cleaned" with digital signal processing tools before it is played out, transmitted, or stored. An attempt has been made here to explain the requirements and scope of improvements in the field of speech enhancement and its real-time embedded implementation.
Autorenporträt
Dr. Jigarkumar H. Shah has received B.E. degree in Electronics Engg. from B.V.M. Engineering College, Vallabh Vidyanagar in 1997. He has completed M.E.course in Electrical Engineering with specialization in Microprocessor Applications from the M.S. Uni. of Baroda, Vadodara in 2006 and Ph.D. in Electrical Engineering from the same University in 2013.