Bahram Kouhi-Jelehkaran - Islamic Azad University
Hamid Reza Bakhshi - Shahed University
Farbod. Razzazi - Islamic Azad University

Accuracy of speech recognition systems decreases when the distance between talker and microphone increases. By the using of microphone arrays and appropriate filtering of received signals, the accuracy of recognizer can be increased. Many different methods have been proposed. These methods can be classified in two main approaches: Systems that perform in two independent stages of array processing and recognition, and systems that use array processing to generate a sequence of features which maximizes the likelihood of generating the correct hypothesis in recognition phase (dependent stages). In this paper a new approach to microphone array processing is proposed in which the parameters of array processing are adjusted based on phones used in language. Optimized filter parameters are stored and used during recognition phase. Persian language is used to find any improvement in speech recognition accuracy.

Adaptive filters, microphone array processing, robust speech recognition, Persian language