Learning affective representations based on magnitude and dynamic relative phase information for speech emotion recognition

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

[2]  Bayya Yegnanarayana,et al.  Waveform estimation using group delay processing , 1985, IEEE Trans. Acoust. Speech Signal Process..

[3]  Bayya Yegnanarayana,et al.  Significance of group delay functions in spectrum estimation , 1992, IEEE Trans. Signal Process..

[4]  Hongming Zhou,et al.  Extreme Learning Machine for Regression and Multiclass Classification , 2012, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

[5]  Yang Liu,et al.  A Multi-Task Learning Framework for Emotion Recognition Using 2D Continuous Space , 2017, IEEE Transactions on Affective Computing.

[6]  Longbiao Wang,et al.  Spoofing Speech Detection Using Modified Relative Phase Information , 2017, IEEE Journal of Selected Topics in Signal Processing.

[7]  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).

[8]  Noah Constant,et al.  Character-Level Language Modeling with Deeper Self-Attention , 2018, AAAI.

[9]  A. Kai Qin,et al.  Evolutionary extreme learning machine , 2005, Pattern Recognit..

[10]  Wootaek Lim,et al.  Speech emotion recognition using convolutional and Recurrent Neural Networks , 2016, 2016 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA).

[11]  Christopher Joseph Pal,et al.  Recurrent Neural Networks for Emotion Recognition in Video , 2015, ICMI.

[12]  Chee Kheong Siew,et al.  Extreme learning machine: Theory and applications , 2006, Neurocomputing.

[13]  Hema A. Murthy,et al.  The modified group delay function and its application to phoneme recognition , 2003, 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)..

[14]  Jonathan Le Roux,et al.  Phase Processing for Single-Channel Speech Enhancement: History and recent advances , 2015, IEEE Signal Processing Magazine.

[15]  Fakhri Karray,et al.  Survey on speech emotion recognition: Features, classification schemes, and databases , 2011, Pattern Recognit..

[16]  Longbiao Wang,et al.  Speaker Identification and Verification by Combining MFCC and Phase Information , 2009, IEEE Transactions on Audio, Speech, and Language Processing.

[17]  Sridha Sridharan,et al.  The Delta-Phase Spectrum With Application to Voice Activity Detection and Speaker Recognition , 2011, IEEE Transactions on Audio, Speech, and Language Processing.

[18]  Longbiao Wang,et al.  Speaker-Aware Speech Emotion Recognition by Fusing Amplitude and Phase Information , 2020, MMM.

[19]  I. Saratxaga,et al.  Simple representation of signal phase for harmonic speech models , 2009 .

[20]  Shashidhar G. Koolagudi,et al.  Emotion recognition from speech: a review , 2012, International Journal of Speech Technology.

[21]  Björn W. Schuller,et al.  Recognising realistic emotions and affect in speech: State of the art and lessons learnt from the first challenge , 2011, Speech Commun..

[22]  Rajesh M. Hegde,et al.  Significance of the Modified Group Delay Feature in Speech Recognition , 2007, IEEE Transactions on Audio, Speech, and Language Processing.

[23]  Emery Schubert.  Measuring emotion continuously: Validity and reliability of the two-dimensional emotion-space , 1999 .

[24]  Jacek M. Zurada,et al.  Review and performance comparison of SVM- and ELM-based classifiers , 2014, Neurocomputing.

[25]  Éric Gaussier,et al.  A Probabilistic Interpretation of Precision, Recall and F-Score, with Implication for Evaluation , 2005, ECIR.

[26]  Jianwu Dang,et al.  Convolutional Neural Network with Spectrogram and Perceptual Features for Speech Emotion Recognition , 2018, ICONIP.

[27]  Ibon Saratxaga,et al.  Evaluation of Speaker Verification Security and Detection of HMM-Based Synthetic Speech , 2012, IEEE Transactions on Audio, Speech, and Language Processing.