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1.
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The speech signal has variability due to language, speakers, and communication channels. In this work, variability due to language is referred to as variability due to d [...]
2002-07-01 |
Dissertation |
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2.
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cse-94-040
1995 |
Article |
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3.
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For ASR and many other applications, feature extraction transforms the signal to a feature vector that is modeled by the subsequent stochastic classifier. One of t [...]
2004-11-01 |
Dissertation |
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4.
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Temporal patterns of frequency-localized features in ASR. This work investigates the use of frequency-localized temporal patterns of the speech signal for developin [...]
2003-07-01 |
Dissertation |
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