منابع مشابه
Natural-emotion GMM transformation algorithm for emotional speaker recognition
One of the largest challenges in speaker recognition is dealing with speaker-emotion variability problem. Nowadays, compensation techniques are the main solutions to this problem. In these methods, all kinds of speakers’ emotion speech should be elicited thus it is not user-friendly in the application. Therefore the basic problem is how to get the distribution of speakers’ emotion speech and ho...
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Speech emotion recognition aims at automatically identifying the emotional or physical state of a human being from his or her voice. The emotional state is an important factor in human communication, because it provides feedback information in many applications. This paper makes a comparison of two standard methods used for speaker recognition and verification: Gaussian Mixture Models (GMM) and...
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In machine interaction with human being is yet challenging task that machine should be able to identify and react to human non-verbal communication such as emotions which makes the human computer interaction become more natural. In present research area automatic emotion recognition using speech is an essential task which paid close attention. Speech signal is a rich source of information and i...
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In previous work [1], it was investigated how the neighborhood can be used to estimate a better model for a speaker when few training data is avalaible. In this paper, this work is completed by investigating another way to merge models from the neighbors and by introducing a weight on the neighbor models to be merged. Experiments on a telephone speech database show that using the neighborhood-m...
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ژورنال
عنوان ژورنال: Journal of Computer Science and Cybernetics
سال: 2018
ISSN: 1813-9663,1813-9663
DOI: 10.15625/1813-9663/33/3/11017