Hierarchical Phoneme Classifier for Hindi Speech

被引：2
|
作者：
Singhvi, Abhinav [1 ]
Gupta, Prashant [1 ]
Sanyal, Sudip [1 ]
机构：
[1] IIIT Allahabad, Allahabad, Uttar Pradesh, India
来源：
ICSP: 2008 9TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING, VOLS 1-5, PROCEEDINGS | 2008年
关键词：
D O I：
10.1109/ICOSP.2008.4697197
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：
In this work we develop a phoneme segmentation and phoneme recognition for Hindi speech recognition. Novel features like the number of dominating frequencies, the primary and secondary dominating frequencies are used in addition to standard features like zero crossing, length of the phoneme and energy. The results obtained with standard data sets show that the system has an accuracy of more than 85%.
引用
收藏
页码：571 / 574
页数：4
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