Browsing by Subject "Emotional speech classification"
Now showing items 1-3 of 3
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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 for emotion recognition from spontaneous speech
(ACM, 2010)Training datasets containing spontaneous emotional expressions 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) ... -
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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