The Recognition of Chinese Speech Based on Hidden Markov Models , Vector Quantization and Grammar Knowledge
碩士 === 國立雲林科技大學 === 電子與資訊工程研究所碩士班 === 89 === This thesis describes a Chinese speech recognition system. The system uses cepstrum-coefficient, vector quantization, Hidden M-arkov model and grammar knowledge.The majority of previous resear-ch projects tend to study the characteristics of vo...
Main Authors: | , |
---|---|
Other Authors: | |
Format: | Others |
Language: | zh-TW |
Published: |
2001
|
Online Access: | http://ndltd.ncl.edu.tw/handle/78417519789462762922 |
Summary: | 碩士 === 國立雲林科技大學 === 電子與資訊工程研究所碩士班 === 89 === This thesis describes a Chinese speech recognition system.
The system uses cepstrum-coefficient, vector quantization, Hidden M-arkov model and grammar knowledge.The majority of previous resear-ch projects tend to study the characteristics of voice signals, and ignore the importance of grammar knowledge for voice recognition.
|
---|