Phone-Based Filter Parameter Optimization for Robust Speech Recognition Using Likelihood Maximization
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 the likelihood acoustic information of recognition stage to calibrate the parameters of array processing stage on an utterance-based manner.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.
Bahram Kouhi-Jelehkaran Hamidreza Bakhshi Farbod Razzazi Sahar Amini
Islamic Azad University Shahed University
国际会议
9th International Conference on Signal Processing(第九届国际信号处理学术会议)(ICSP08)
北京
英文
2008-10-26(万方平台首次上网日期,不代表论文的发表时间)