Browsing by Author "Eroğlu Erdem, Ç."
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3B kamera takibi için eylemsizlik algılayıcılarının birleştirilmesi
Özer, N.; Erdem, Tanju; Ercan, Ali Özer; Eroğlu Erdem, Ç. (IEEE, 2012)It is well known in a Bayesian filtering framework, the use of inertial sensors such as accelerometers and gyroscopes improves 3D tracking performance compared to using camera measurements only. The performance improvement ... -
Authoring and presentation tools for distance learning over interactive TV
Gürel, T. C.; Erdem, Tanju; Kermen, A.; Özkan, M. K.; Eroğlu Erdem, Ç. (ACM, 2010)We present a complete system for distance learning over interactive TV with novel tools for authoring and presentation of lectures and exams, and evaluation of student and system performance. The main technological ... -
Combining haar feature and skin color based classifiers for face detection
Eroğlu Erdem, Ç.; Ulukaya, S.; Karaali, A.; Erdem, Tanju (IEEE, 2011)This paper presents a hybrid method for face detection in color images. The well known Haar feature-based face detector developed by Viola and Jones (VJ), that has been designed for gray-scale images is combined with a ... -
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 ... -
More learning with less labeling for face recognition
Büyüktaş, Barış; Eroğlu Erdem, Ç.; Erdem, Tanju (Elsevier, 2023-05)In this paper, we propose an improved face recognition framework where the training is started with a small set of human annotated face images and then new images are incorporated into the training set with minimum human ... -
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 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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