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In this paper, we address the problem of speech recognition in the presence of additive noise. We investigate the applicability and efficacy of auditory masking in devising a robust front end for noisy features. This is achieved by introducing a masking factor into the Vector Taylor Series (VTS) equations. The resultant first order VTS approximation is used to compensate the parameters of a clean...
This paper addresses the problem of speech recognition in the presence of additive noise. It focuses on Psychoacoustic Model Compensation (Psy-Comp) scheme, which has been shown to be a powerful technique for noise robustness. It has further implemented model domain mean and variance normalization along with Psy-Comp to alleviate channel noise for robust continuous speech recognition in noisy conditions...
In this paper we introduce the SPHINX3-based Bengali Automatic Speech Recognition(ASR) system Shruti-II and an E-mail application based on it. This ASR system converts standard Bengali continuous speech to Bengali Unicode. Due to the limited availability of access to computer, visually impaired community can use speech as an input method for various computer-based application. This paper also demonstrates...
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