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Papers
Emotion Identification from Raw Speech Signals Using DNNs
Interspeech 2018
Emotion Recognition from Human Speech Using Temporal Information and Deep Learning
Interspeech 2018
Exploring Spatio-Temporal Representations by Integrating Attention-based Bidirectional-LSTM-RNNs and FCNs for Speech Emotion Recognition
Interspeech 2018
Integrating Recurrence Dynamics for Speech Emotion Recognition
Interspeech 2018
Investigating Speech Enhancement and Perceptual Quality for Speech Emotion Recognition
Interspeech 2018
Investigation on Joint Representation Learning for Robust Feature Extraction in Speech Emotion Recognition
Interspeech 2018
Learning Spontaneity to Improve Emotion Recognition in Speech
Interspeech 2018
Mining Multimodal Repositories for Speech Affecting Diseases
Interspeech 2018
On Enhancing Speech Emotion Recognition Using Generative Adversarial Networks
Interspeech 2018
Predicting Arousal and Valence from Waveforms and Spectrograms Using Deep Neural Networks
Interspeech 2018
Role of Regularization in the Prediction of Valence from Speech
Interspeech 2018
Speech Emotion Recognition by Combining Amplitude and Phase Information Using Convolutional Neural Network
Interspeech 2018
Speech Emotion Recognition from Variable-Length Inputs with Triplet Loss Function
Interspeech 2018
Speech Emotion Recognition Using Spectrogram & Phoneme Embedding
Interspeech 2018
Stochastic Shake-Shake Regularization for Affective Learning from Speech
Interspeech 2018
Towards Temporal Modelling of Categorical Speech Emotion Recognition
Interspeech 2018
Transfer Learning for Improving Speech Emotion Classification Accuracy
Interspeech 2018
Variational Autoencoders for Learning Latent Representations of Speech Emotion: A Preliminary Study
Interspeech 2018
Vocalic, Lexical and Prosodic Cues for the INTERSPEECH 2018 Self-Assessed Affect Challenge
Interspeech 2018
Adversarial Auto-Encoders for Speech Based Emotion Recognition
Interspeech 2017
An Investigation of Emotion Dynamics and Kalman Filtering for Speech-Based Emotion Prediction
Interspeech 2017
Attentive Convolutional Neural Network Based Speech Emotion Recognition: A Study on the Impact of Input Features, Signal Length, and Acted Speech
Interspeech 2017
Discretized Continuous Speech Emotion Recognition with Multi-Task Deep Recurrent Neural Network
Interspeech 2017
Interaction and Transition Model for Speech Emotion Recognition in Dialogue
Interspeech 2017
Modeling Perceivers Neural-Responses Using Lobe-Dependent Convolutional Neural Network to Improve Speech Emotion Recognition
Interspeech 2017