A Particle Filter Compensation Approach to Robust Speech Recognition
نویسنده
چکیده
The speech production mechanism goes through various stages. First, a thought is generated in speakers mind. The thought is put into a sequence of words. These words are converted into a speech signal using various muscles including face muscles, chest muscles, tongue etc. This signal is distorted by environmental factors such as background noise, reverberations, channel distortions when sent through a microphone, telephone channel etc. The aim of Automatic Speech Recognition Systems (ASR) is to reconstruct the spoken words from the speech signal. From information theoretic [1] perspective, we can treat what is between the speaker and machine as a distortion channel as shown in figure 1.
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