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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Bibliographic Details
Main Author: Luo, Xue Wen
Other Authors: Soon Ing Yann
Format: Thesis
Language:English
Published: 2010
Subjects:
Online Access:https://hdl.handle.net/10356/41749