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RANSAC-based training data selection for speaker state recognition
(The International Speech Communications Association, 2011)
We present a Random Sampling Consensus (RANSAC) based training approach for the problem of speaker state recognition from spontaneous speech. Our system is trained and tested with the INTERSPEECH 2011 Speaker State ...
Formant position based weighted spectral features for emotion recognition
(Elsevier, 2011)
In this paper, we propose novel spectrally weighted mel-frequency cepstral coefficient (WMFCC) features for emotion recognition from speech. The idea is based on the fact that formant locations carry emotion-related ...
RANSAC-based training data selection on spectral features for emotion recognition from spontaneous speech
(Springer International Publishing, 2011)
Training datasets containing spontaneous emotional speech are often imperfect due the ambiguities and difficulties of labeling such data by human observers. In this paper, we present a Random Sampling Consensus (RANSAC) ...
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