The Speaker Adaptation of an Acoustic Model
نویسنده
چکیده
This paper deals with several adaptation techniques, which are of the importance in cases when the identity of a speaker is known and we want to recognize his speech. We are using three different methods, namely Maximum Apriori Probability adaptation, Maximum Likelihood Linear Regression and Constrained Maximum Likelihood Linear Regression. Each of the methods yields various benefits, therefore we examined their combination. This approach brought further error rate decreasing. All acoustic models are based on the Hiden Markov Model.
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