A Novel Fuzzy Approach to Speech Recognition

Ramin Halavati, Saeed Bagheri Shouraki, Mahsa Eshraghi, Milad AlemZadeh, Pujan Ziaie. A Novel Fuzzy Approach to Speech Recognition. In 4th International Conference on Hybrid Intelligent Systems (HIS 2004), 5-8 December 2004, Kitakyushu, Japan. pages 340-345, IEEE Computer Society, 2004. [doi]

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.