Feature Extraction for Automatic Speech Recognition in Noisy Acoustic Environments
This thesis presents a study of alternative speech feature extraction methods aimed at increasing robustness of automatic speech recognition (ASR) against additive background noise. Spectral peak positions of speech signals remain practically unchanged in presence of additive background noise. Thus...
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| Format: | Doctoral Thesis |
| Language: | English |
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Norges teknisk-naturvitenskapelige universitet, Fakultet for informasjonsteknologi, matematikk og elektroteknikk
2002
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| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-441 http://nbn-resolving.de/urn:isbn:82-471-5457-9 |