منابع مشابه
Discriminative directional classifiers
In different areas of knowledge, phenomena are represented by directional-angular or periodic-data; from wind direction and geographical coordinates to time references like days of the week or months of the calendar. These values are usually represented in a linear scale, and restricted to a given range (e.g. 1⁄20;2πÞ), hiding the real nature of this information. Therefore, dealing with directi...
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Due to the growing need for security applications speaker recognition as the biometric task of authenticating a claimant by voice has currently become a focus of interest. Traditionally approaches in the area of speaker recognition were mainly based on generative classi ers like Gaussian Mixture Models (GMMs). However, more recently other classi ers like Support Vector Machines (SVMs) have been...
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In many scientific and engineering applications, detecting and understanding differences between two groups of examples can be reduced to a classical problem of training a classifier for labeling new examples while making as few mistakes as possible. In the traditional classification setting, the resulting classifier is rarely analyzed in terms of the properties of the input data captured by th...
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The goal of automatic speaker recognition is to identify a speaker or to verify if a speaker is the person he claims to be. We present an overview of state-of-the-art speaker recognition systems which are usually based on speakerdependent Gaussian Mixture Models (GMMs). In this paper we also describe different methods of integrating discriminative classifiers like the Support Vector Machine (SV...
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ژورنال
عنوان ژورنال: Neurocomputing
سال: 2016
ISSN: 0925-2312
DOI: 10.1016/j.neucom.2016.03.076