Spectro-Temporal Features For Robust Automatic Speech Recognition
The speech signal is inherently characterized by its variations in time, which get reflected as variations in frequency. The specto temporal changes are due to changes in vocaltract, intonation, co-articulation and successive articulation of different phonetic sounds. In this thesis we are looking f...
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| Language: | en_US |
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2011
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| Online Access: | http://hdl.handle.net/2005/1007 |