Improving speech emotion recognition based on acoustic words emotion dictionary

[1]  Björn W. Schuller,et al.  The INTERSPEECH 2009 emotion challenge , 2009, INTERSPEECH.

[2]  Björn W. Schuller,et al.  Acoustic emotion recognition: A benchmark comparison of performances , 2009, 2009 IEEE Workshop on Automatic Speech Recognition & Understanding.

[3]  Louis-Philippe Morency,et al.  Step-wise emotion recognition using concatenated-HMM , 2012, ICMI '12.

[4]  Yongzhao Zhan,et al.  Learning Salient Features for Speech Emotion Recognition Using Convolutional Neural Networks , 2014, IEEE Transactions on Multimedia.

[5]  Chaitali Chakrabarti,et al.  A multi-modal approach to emotion recognition using undirected topic models , 2014, 2014 IEEE International Symposium on Circuits and Systems (ISCAS).

[6]  Carlos Busso,et al.  Emotion recognition using a hierarchical binary decision tree approach , 2011, Speech Commun..

[7]  Johanna D. Moore,et al.  Emotion recognition in spontaneous and acted dialogues , 2015, 2015 International Conference on Affective Computing and Intelligent Interaction (ACII).

[8]  Björn W. Schuller,et al.  Context-Sensitive Learning for Enhanced Audiovisual Emotion Classification , 2012, IEEE Trans. Affect. Comput..

[9]  George Trigeorgis,et al.  Adieu features? End-to-end speech emotion recognition using a deep convolutional recurrent network , 2016, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

[10]  Mohamed S. Kamel,et al.  Segment-based approach to the recognition of emotions in speech , 2005, 2005 IEEE International Conference on Multimedia and Expo.

[11]  P. Ekman.  Are there basic emotions? , 1992, Psychological review.

[12]  Rosalind W. Picard,et al.  Recognizing affect from speech prosody using hierarchical graphical models , 2011, Speech Commun..

[13]  Margaret Lech,et al.  Evaluating deep learning architectures for Speech Emotion Recognition , 2017, Neural Networks.

[14]  Björn W. Schuller,et al.  Convolutional RNN: An enhanced model for extracting features from sequential data , 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

[15]  Seyedmahdad Mirsamadi,et al.  Automatic speech emotion recognition using recurrent neural networks with local attention , 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

[16]  Arman Savran,et al.  Acoustic and lexical representations for affect prediction in spontaneous conversations , 2015, Comput. Speech Lang..

[17]  Björn Schuller,et al.  Opensmile: the munich versatile and fast open-source audio feature extractor , 2010, ACM Multimedia.

[18]  Carlos Busso,et al.  IEMOCAP: interactive emotional dyadic motion capture database , 2008, Lang. Resour. Evaluation.

[19]  Björn W. Schuller,et al.  Timing levels in segment-based speech emotion recognition , 2006, INTERSPEECH.

[20]  Wendi B. Heinzelman,et al.  Speech-based emotion classification using multiclass SVM with hybrid kernel and thresholding fusion , 2012, 2012 IEEE Spoken Language Technology Workshop (SLT).

[21]  Carlos Busso,et al.  Exploring Cross-Modality Affective Reactions for Audiovisual Emotion Recognition , 2013, IEEE Transactions on Affective Computing.

[22]  Ngoc Thang Vu,et al.  Attentive Convolutional Neural Network Based Speech Emotion Recognition: A Study on the Impact of Input Features, Signal Length, and Acted Speech , 2017, INTERSPEECH.

[23]  Chengxin Li,et al.  Speech emotion recognition with acoustic and lexical features , 2015, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

[24]  Björn W. Schuller,et al.  The Geneva Minimalistic Acoustic Parameter Set (GeMAPS) for Voice Research and Affective Computing , 2016, IEEE Transactions on Affective Computing.

[25]  Björn W. Schuller,et al.  Analyzing the memory of BLSTM Neural Networks for enhanced emotion classification in dyadic spoken interactions , 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).