Phone Based Filter Parameter Optimization for Robust Speech Recognition in Persian
عنوان مقاله: Phone Based Filter Parameter Optimization for Robust Speech Recognition in Persian
شناسه ملی مقاله: ICEE16_200
منتشر شده در شانزدهمین کنفرانس مهندسی برق ایران در سال 1387
شناسه ملی مقاله: ICEE16_200
منتشر شده در شانزدهمین کنفرانس مهندسی برق ایران در سال 1387
مشخصات نویسندگان مقاله:
Bahram Kouhi-Jelehkaran - Islamic Azad University
Hamid Reza Bakhshi - Shahed University
Farbod. Razzazi - Islamic Azad University
خلاصه مقاله:
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.
کلمات کلیدی: Adaptive filters, microphone array processing, robust speech recognition, Persian language
صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/47698/