Development of Application Specific Continuous Speech Recognition System in Hindi
نویسندگان
چکیده
منابع مشابه
A large-vocabulary continuous speech recognition system for Hindi
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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Speech recognition is the process of converting an acoustic waveform into the text similar to the information being conveyed by the speaker. In the present era, mainly Hidden Markov Model (HMMs) based speech recognizers are used. This paper aims to build a speech recognition system for Hindi language. Hidden Markov Model Toolkit (HTK) is used to develop the system. It recognizes the isolated wo...
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Speech is a natural way of communication and it provides an intuitive user interface to machines. Although the performance of automatic speech recognition (ASR) system is far from perfect. The overall performance of any speech recognition system is highly depends on the acoustic modeling. Hence generation of an accurate and robust acoustic model holds the key to satisfactory recognition perform...
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Speech is the most natural way of communication between human beings. The field of speech recognition generates intrigues of man – machine conversation and due to its versatile applications; automatic speech recognition systems have been designed. In this paper we are presenting a novel approach for Hindi speech recognition by ensemble feature extraction modules of ASR systems and their outputs...
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ژورنال
عنوان ژورنال: Journal of Signal and Information Processing
سال: 2012
ISSN: 2159-4465,2159-4481
DOI: 10.4236/jsip.2012.33052