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ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
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Paper Title: Speech Recognition System Using Human Voice In Indian Language (Review)
Authors Name: Shaikh Ajij Amirsab , Tadvi Pathan Ekrar Khan Ebrahim khan
Unique Id: IJSDR1705026
Published In: Volume 2 Issue 5, May-2017
Abstract: Speech recognition are becoming more and more useful nowadays.This paper presents an overview of speech recognition technology. This report presents an overview of speech recognition technology, software, development and applications.After years of research and development the accuracy of automatic speech recognition (ASR) remains one of the most important research challenges e.g. speaker and language variability, vocabulary size and domain, noise. With growth in the needs for embedded computing and the demand for emerging embedded platforms, it is required that the speech recognition systems (SRS) are available on them. Today after intense research, Speech Recognition System, have made a niche for themselves and can be seen in many walks of life.The advantage of discrete speech is that word boundaries can be set exactly while with continuous speech; words will be spoken without silences.This paper presents a study of basic approaches to speech recognition and their results shows better accuracy. Speech recognition systems are the efficient alternatives for such devices where typing becomes difficult. But they are usually meant for and executed on the traditional general-purpose computers. The accuracy of Speech Recognition Systems remains one of the most important research challenges e.g. noise, speaker variability, language variability, vocabulary size and domain. The design of speech recognition system require careful attentionsto the challenges or issue such as various types of speech classes, speech representation, feature extraction techniques, database and performance evaluation.In this paper we are using a HMM (hidden Markov model) to recognize speech samples to give excellent results for isolated words. This paper also presents what research has been done around for dealing with the problem of ASR.The design of speech recognition system requires careful attentions to the challenges such as various types of Speech Classes and Speech Representation, Speech Preprocessing stages. The advantage of discrete speech is that word boundaries can be set exactly while with continuous speech; words will be spoken without silences.
Keywords: Speech Recognition,acoustic model,style; Feature extraction.
Cite Article: "Speech Recognition System Using Human Voice In Indian Language (Review)", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.2, Issue 5, page no.130 - 135, May-2017, Available :http://www.ijsdr.org/papers/IJSDR1705026.pdf
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Publication Details: Published Paper ID: IJSDR1705026
Registration ID:170374
Published In: Volume 2 Issue 5, May-2017
DOI (Digital Object Identifier):
Page No: 130 - 135
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

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