Title :
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
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;
Conference_Titel :
Hybrid Intelligent Systems, 2004. HIS '04. Fourth International Conference on
Print_ISBN :
0-7695-2291-2
DOI :
10.1109/ICHIS.2004.11
