Speaker Independent Speech Recognition Implementation with Adaptive Language Models

被引：3
|
作者：
Anukriti [1 ]
Tiwari, Sushant [1 ]
Chatterjee, Tanmay [1 ]
Bhattacharya, Mahua [1 ]
机构：
[1] ABV IIITM, Gwalior, India
来源：
2013 INTERNATIONAL SYMPOSIUM ON COMPUTATIONAL AND BUSINESS INTELLIGENCE (ISCBI) | 2013年
关键词：
Speech Recognition; Language Models; Windows; 7; hidden markov model; phones;
D O I：
10.1109/ISCBI.2013.9
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Speech recognition system is the method of implementing protocols and codes to enable a machine to take sound waves in the form of input, interpret it and formulate the desired output. In this paper, a method has been proposed to build up a speech recognition system which could interpret in any language (tested with Hindi and Bengali language) and implement it on Windows 7 platform which could be speaker independent i.e. recognition of voice irrespective of any random speaker.
引用
收藏
页码：7 / 10
页数：4
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