21 citations · 47 across the 4 of their papers we have counts for
3 papers · 1 filter
Learning Representations of Emotional Speech with Deep Convolutional Generative Adversarial Networks
Jonathan Chang, Stefan Scherer
Automatically assessing emotional valence in human speech has historically been a difficult task for machine learning algorithms. The subtle changes in the voice of the speaker tha…
Affect-LM: A Neural Language Model for Customizable Affective Text Generation
Sayan Ghosh, Mathieu Chollet, Eugene Laksana +2
Human verbal communication includes affective messages which are conveyed through use of emotionally colored words. There has been a lot of research in this direction but the probl…
Learning Representations of Affect from Speech
Sayan Ghosh, Eugene Laksana, Louis-Philippe Morency +1
There has been a lot of prior work on representation learning for speech recognition applications, but not much emphasis has been given to an investigation of effective representat…