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Improving Recognition Accuracy on CVSD Speech Under Mismatched Conditions

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26 out of 50 users found this white paper useful


Publisher Carnegie Mellon University
Publisher Registration Direct Access
Topics Bluetooth, Mobile - Wireless Communications Date added 15 Sep 2003
Downloads 39 Format 137.2KB PDF

Emerging technology in mobile communications is seeing increasingly high acceptance as a preferred choice for last-mile communication. However, designing of speech recognition systems for mobile communications is crucial in order to provide voice enabled command and control and for applications like Mobile Voice Commerce. Continuously Variable Slope Delta (CVSD) modulation, a technique for low bitrate coding of speech, has been in use particularly in military wireless environments for over 30 years, and is now also adopted by BlueTooth. This paper studies some characteristics of the CVSD speech in the context of robust recognition of compressed speech, and presents two methods of improving the recognition accuracy in Automatic Speech Recognition (ASR) systems.

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26 out of 50 users found this white paper useful


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