Automated Speaker Recognition Methods: a Critical Review
نویسندگان
چکیده
In this paper, an overview of state-of-the-art approaches for speaker recognition is presented. Due to the increased scalar of dialogue system applications the interest in that province has grown boomingly in certain years. Nevertheless, there are many open up shots in the field of automatic speaker recognition. The techniques, evaluations, and implementations of various proposed speaker recognition systems are reviewed with distinctive emphasis on issues prerogative to confirmation of speaker. We also describe here our direction for possible improvement to the automated speaker identification. KeywordsFeature Extraction, Gaussian mixture models, machine learning algorithms, windowing, Mel Frequency Cepstral Coefficients, Vector Quantization
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تاریخ انتشار 2017