Paper Title

Speech Recognition System Using Human Voice In Indian Language (Review)

Authors

Shaikh Ajij Amirsab , Tadvi Pathan Ekrar Khan Ebrahim khan

Keywords

Speech Recognition,acoustic model,style; Feature extraction.

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.

How To Cite

"Speech Recognition System Using Human Voice In Indian Language (Review)", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.2, Issue 5, page no.130 - 135, May-2017, Available :https://ijsdr.org/papers/IJSDR1705026.pdf

Issue

Volume 2 Issue 5, May-2017

Pages : 130 - 135

Other Publication Details

Paper Reg. ID: IJSDR_170374

Published Paper Id: IJSDR1705026

Downloads: 000347033

Research Area: Engineering

Country: -, -, India

Published Paper PDF: https://ijsdr.org/papers/IJSDR1705026

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR1705026

About Publisher

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

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