Recognition quality improvement in Automatic Speech Recognition system for Polish

被引：0
|
作者：
Wydra, Sebastian [1 ]
机构：
[1] Warsaw Univ Technol, Inst Radioelect, Warsaw, Poland
来源：
EUROCON 2007: THE INTERNATIONAL CONFERENCE ON COMPUTER AS A TOOL, VOLS 1-6 | 2007年
关键词：
Hidden Markov Models; speech recognition; prosodic parameters; mel-frequency cepstrum coefficients;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper discusses a mixed parameterization modeling method in a speaker independent Automatic Speech Recognition (ASR) system for Polish keywords. The goal of this project is to improve the recognition quality in Polish commands and instructions recognition system based on mel-frequency cepstrum coefficients (MFCC) modeling. In this project we studied the recognition quality using a mixed speech modeling consisting of MFCC and prosodic parameters. We experimentally showed that the mixed modeling yields better recognition quality than a simple MFCC modeling.
引用
收藏
页码：1693 / 1698
页数：6
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