A Novel Fuzzy Approach to Speech Recognition

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.

• Type: Conference
• Year: 2004
• Where: HIS
• Authors: Ramin Halavati, Saeed Bagheri Shouraki, Mahsa Eshraghi, Milad Alemzadeh, Pujan Ziaie
• Keywords: Fuzzy Modeling, HIS 2004, HIS 2007, Normal Fuzzy Reasoning, Speech Recognition