A novel Fuzzy approach to speech recognition

Author

Halavati, Ramin ; Shouraki, Saeed Bagheri ; Eshraghi, Mahsa ; Alemzadeh, Milad ; Ziaie, Pujan

Author_Institution

Comput. Eng. Dept., Sharif Univ. of Technol., Tehran, Iran

fYear

2004

fDate

5-8 Dec. 2004

Firstpage

340

Lastpage

345

Abstract

This paper presents a novel approach to speech recognition using fuzzy modeling. The task begins with conversion of speech spectrogram into a linguistic description based on arbitrary colors and lengths. While phonemes are also described using these fuzzy measures, and recognition is done by normal fuzzy reasoning, a genetic algorithm optimizes phoneme definitions so that to classify samples into correct phonemes. The method is tested over a standard speech data base and the results are presented.

Keywords

cognitive systems; fuzzy neural nets; hidden Markov models; speech processing; speech recognition; arbitrary color; fuzzy modeling; genetic algorithm; linguistic description; normal fuzzy reasoning; phoneme definition optimization; speech recognition; speech spectrogram; Delay effects; Filter bank; Frequency; Fuzzy reasoning; Genetic algorithms; Hidden Markov models; Humans; Spectrogram; Speech recognition; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Hybrid Intelligent Systems, 2004. HIS '04. Fourth International Conference on

Print_ISBN

0-7695-2291-2

Type

conf

DOI

10.1109/ICHIS.2004.11

Filename

1410027

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2845199