Psychoacoustic model for robust speech recognition
This thesis presents a detailed study on psychoacoustic modeling for feature extraction for robust speech recognition. In an automatic speech recognition (ASR) system, feature extraction is critical to determining the recognizer's performance. The most popular feature vectors for ASR are Mel Fr...
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Format: | Thesis |
Language: | English |
Published: |
2010
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Online Access: | https://hdl.handle.net/10356/41749 |