Formants Based Analysis for Speech Recognition

Author

Ali, Ahmad ; Bhatti, Safiullah ; Mian, Muhammad Sleem

Author_Institution

Dept. of Comput. Sci. & Software Eng., Univ. of Eng. & Technol., Lahore

fYear

0

fDate

0-0 0

Firstpage

1

Lastpage

3

Abstract

Automatic speech recognition (ASR) is one of the most developing fields of the modern science having a wide range of applications. The purpose of this paper is to introduce statistical methods for speech recognition by extracting formants of the speech and analyzing their behavior. It is a novel way to speech recognition. The whole analysis for speech recognition is based upon first five formants of the speech. The method has been tested for Urdu speech, and result obtained is of high accuracy. There are 80 checkpoints, as a result of the algorithm (method), before Urdu speech is recognized. The method can be used for any other language as well for speech recognition

Keywords

speech recognition; statistical analysis; Urdu speech; automatic speech recognition analysis; formant based analysis; speech formant extraction; statistical method; Acoustical engineering; Automatic speech recognition; Frequency; Humans; Shape; Software engineering; Speech analysis; Speech recognition; Statistical analysis; Tongue;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering of Intelligent Systems, 2006 IEEE International Conference on

Conference_Location

Islamabad

Print_ISBN

1-4244-0456-8

Type

conf

DOI

10.1109/ICEIS.2006.1703179

Filename

1703179