Improving automatic phoneme alignment under noisy conditions by incorporating spectral voicing information

被引:1
|
作者
Jancovic, P. [1 ]
Koekueer, M. [1 ]
机构
[1] Univ Birmingham, Sch Elect Elect & Comp Engn, Birmingham B15 2TT, W Midlands, England
基金
英国工程与自然科学研究理事会;
关键词
SPEECH RECOGNITION;
D O I
10.1049/el.2009.0715
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
An incorporation of spectral voicing information of speech signal for improving the accuracy of automatic phoneme alignment under noisy conditions is presented. Experiments are conducted on the TIMIT speech corpus corrupted by an additive noise at various signal-to-noise ratios. Significant performance improvements are reported.
引用
收藏
页码:761 / 762
页数:2
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