Spoken Tamil character recognition
Автор: Chandrasekar M., Ponnavaikko M.
Журнал: Техническая акустика @ejta
Статья в выпуске: т.7, 2007 года.
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Speech is one of the most complex signals and the powerful tool for communication. It has been a long desire of the scientists that the machine should recognize the speech of the human beings either for the machine to function on voice commands or for giving a text output of the speech. Automatic recognition of speech by machine has been a goal of research for more than four decades. Now speech recognition tool has become a necessity for busy executives and industrial applications. Since beginning the research in this direction has been concentrating on English Speech recognition. Only from the last few years works are being carried out for recognizing speech in other languages. The Indian languages are structurally and syntactically different from Latin. This paper presents an approach for the recognition of spoken characters in Indian languages particularly Tamil using acoustic features of individual letters. A three layered back propagation neural network approach used for solving the problem is presented. The efficiency of the method presented is highlighted by applying the same to Tamil characters recognition.
Короткий адрес: https://sciup.org/14316082
IDR: 14316082
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