MLLR-based Online Hierarchical Speaker Adaptation for Speech Recognition

碩士 === 國立交通大學 === 電信工程系 === 89 === In this thesis, we try to build a good online hierarchical speaker adaptation speech recognition system. By offline and online improving, we hope to increase the performance after adaptation and decrease calculation capacity to increase efficiency. The s...

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Bibliographic Details
Main Authors: Luke Chou, 周樂生
Other Authors: Sin-Horng Chen
Format: Others
Language:zh-TW
Published: 2001
Online Access:http://ndltd.ncl.edu.tw/handle/46063836314165732686