Speech Analysis for Automatic Speech Recognition
The classical front end analysis in speech recognition is a spectral analysis which parametrizes the speech signal into feature vectors; the most popular set of them is the Mel Frequency Cepstral Coefficients (MFCC). They are based on a standard power spectrum estimate which is first subjected to a...
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| Format: | Others |
| Language: | English |
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Norges teknisk-naturvitenskapelige universitet, Institutt for elektronikk og telekommunikasjon
2009
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| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-9092 |