Title :
Speaker Independent Speech Recognition Implementation with Adaptive Language Models
Author :
Anukriti ; Tiwari, Sunita ; Chatterjee, Trisha ; Bhattacharya, Mahua
Author_Institution :
Inf. Technol., ABV-IIITM, Gwalior, India
Abstract :
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.
Keywords :
natural language processing; operating systems (computers); speech recognition; Bengali language; Hindi language; Windows 7 platform; adaptive language models; speaker independent speech recognition system; voice recognition; Dictionaries; Engines; Hidden Markov models; Signal processing algorithms; Speech; Speech processing; Speech recognition; Language Models; Speech Recognition; Windows 7; hidden markov model; phones;
Conference_Titel :
Computational and Business Intelligence (ISCBI), 2013 International Symposium on
Conference_Location :
New Delhi
Print_ISBN :
978-0-7695-5066-4
DOI :
10.1109/ISCBI.2013.9
