Application of triphone clustering in acoustic modeling for continuous speech recognition in Bengali
Application of triphone clustering in acoustic modeling for continuous speech recognition in Bengali
复制标题
三音素聚类在孟加拉语连续语音识别声学建模中的应用
DOI:
10.1109/icpr.2008.4761657
复制
发表时间:
2008
期刊:
影响因子:
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通讯作者:
A. Basu
中科院分区:
文献类型:
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作者:
Pratyush Banerjee;Gaurav Garg;Pabitra Mitra;A. Basu
The performance of the acoustic models is highly reflective on the overall performance of any continuous speech recognition system. Hence generation of an accurate and robust acoustic model holds the key to satisfactory recognition performance. As phones are found to vary according to the position of occurrence within a particular word, context information is of prime importance in acoustic modeling of phonetic signals. In this paper we look at the effect of triphone-based acoustic modeling over monophone based acoustic models in the context of continuous speech recognition in Bengali. Keeping in mind the lack of training resources for triphone-based acoustic modeling in Bengali, we have also described herein, the method of generating triphone clusters using decision tree based techniques. These triphone clusters have then been used to generate tied-state triphone based acoustic models to be used in a continuous speech recognizer.
DOI:
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发表时间:
2008
期刊:
影响因子:
--
作者:
石黒 喜美子;篠村 裕之;坂巻 裕介;林 香;伊藤 裕
通讯作者:
伊藤 裕