Phone Based Filter Parameter Optimization for Robust Speech Recognition in Persian

Publish Year: 1387
نوع سند: مقاله کنفرانسی
زبان: English
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شناسه ملی سند علمی:

ICEE16_200

تاریخ نمایه سازی: 6 اسفند 1386

Abstract:

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.

Authors

Bahram Kouhi-Jelehkaran

Islamic Azad University

Hamid Reza Bakhshi

Shahed University

Farbod. Razzazi

Islamic Azad University

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