Hindi Speech Recognition and Online Speaker Adaptation
نویسندگان
چکیده
Speaker Adaptation is a technique which is used to improve the recognition accuracy of Automatic Speech Recognition (ASR) systems. Here, we report a study of the impact of online speaker adaptation on the performance of a speaker independent, continuous speech recognition system for Hindi language. The speaker adaptation is performed using the Maximum Likelihood Linear Regression (MLLR) transformation of acoustic models. The ASR
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Speaker Adaptation in Continuous Speech Recognition Using MLLR-Based MAP Estimation
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