A LARGE VOCABULARY CONTINUOUS SPEECH RECOGNITION SYSTEM FOR HINDI (original) (raw)
A LARGE VOCABULARY CONTINUOUS SPEECH RECOGNITION SYSTEM FOR HINDI
2002
Ashish Verma
Nitendra Rajput
Abstract
In this paper we present a Hindi Speech Recognition system which has been trained on 40 hours of audio data and a has a trigram language model that is trained with 3 million words. For a vocabulary size of 65000 words, the system gives a word accuracy of 75% to 95%.
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