Return to search

A Design of Recognition Rate Improving Strategy for Speech Recognition System - A Case Study on Mandarin Name and Phrase Recognition System

The objective of this thesis is to design and implement a speech recognition system for Mandarin names and phrases. This system utilizes Mel frequency cepstral coefficients, hidden Markov model and lexicon search strategy to select the phrase candidates. The experimental results indicate that for the speaker dependent case, a strategy incorporating overlapping frames and hybrid training can result in an improvement of 4%, 5%, 4% and 2% on the recognition rate for the Mandarin name, two-word, three-word and four-word phrase recognition systems respectively. Under Redhat Linux 9.0 operating system, any Mandarin name or phrase can be recognized within 2 seconds by a computer with Intel Celeron 2.4 GHz CPU.

Identiferoai:union.ndltd.org:NSYSU/oai:NSYSU:etd-0830108-002522
Date30 August 2008
CreatorsChen, Ru-Ping
ContributorsTsung Lee, Chih-Chien Chen, Chii-Maw Uang
PublisherNSYSU
Source SetsNSYSU Electronic Thesis and Dissertation Archive
LanguageCholon
Detected LanguageEnglish
Typetext
Formatapplication/pdf
Sourcehttp://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0830108-002522
Rightsnot_available, Copyright information available at source archive

Page generated in 0.0021 seconds