Browsing Faculty of Engineering by Author "Erzin, E."
Now showing items 1-7 of 7
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Formant position based weighted spectral features for emotion recognition
Bozkurt, E.; Erzin, E.; Eroğlu Erdem, Ç.; Erdem, Tanju (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 ... -
Improving automatic emotion recognition from speech signals
Bozkurt, E.; Erzin, E.; Eroğlu Erdem, Ç.; Erdem, Tanju (International Speech Communications Association, 2009)We present a speech signal driven emotion recognition system. Our system is trained and tested with the INTERSPEECH 2009 Emotion Challenge corpus, which includes spontaneous and emotionally rich recordings. The challenge ... -
INTERSPEECH 2009 duygu tanıma yarışması değerlendirmesi
Bozkurt, E.; Erzin, E.; Eroğlu Erdem, Ç.; Erdem, Tanju (IEEE, 2010)Bu makalede INTERSPEECH 2009 Duygu Tanıma Yarışması sonuçlarını değerlendiriyoruz. Yarışmanın sunduğu problem doğal ve duygu bakımından zengin FAU Aibo konuşma kayıtlarının beş ve iki duygu sınıfına en doğru şekilde ... -
RANSAC-based training data selection for emotion recognition from spontaneous speech
Eroğlu Erdem, Ç.; Bozkurt, E.; Erzin, E.; Erdem, Tanju (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 for speaker state recognition
Bozkurt, E.; Erzin, E.; Erdem, Ç. E.; Erdem, Tanju (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 ... -
RANSAC-based training data selection on spectral features for emotion recognition from spontaneous speech
Bozkurt, E.; Erzin, E.; Erdem, Tanju; Eroğlu Erdem, Ç. (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) ... -
Use of line spectral frequencies for emotion recognition from speech
Bozkurt, E.; Erzin, E.; Eroğlu Erdem, Ç.; Erdem, Tanju (IEEE, 2010)We propose the use of the line spectral frequency (LSF) features for emotion recognition from speech, which have not been been previously employed for emotion recognition to the best of our knowledge. Spectral features ...
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