Speech emotion recognition using deep learning techniques: A review
Emotion recognition from speech signals is an important but challenging component of
Human-Computer Interaction (HCI). In the literature of speech emotion recognition (SER) …
Human-Computer Interaction (HCI). In the literature of speech emotion recognition (SER) …
A review of depression and suicide risk assessment using speech analysis
This paper is the first review into the automatic analysis of speech for use as an objective
predictor of depression and suicidality. Both conditions are major public health concerns; …
predictor of depression and suicidality. Both conditions are major public health concerns; …
MMGCN: Multimodal fusion via deep graph convolution network for emotion recognition in conversation
The INTERSPEECH 2021 computational paralinguistics challenge: COVID-19 cough, COVID-19 speech, escalation & primates
The INTERSPEECH 2021 Computational Paralinguistics Challenge addresses four different
problems for the first time in a research competition under well-defined conditions: In the …
problems for the first time in a research competition under well-defined conditions: In the …
Speech emotion recognition using deep neural network and extreme learning machine
Speech emotion recognition is a challenging problem partly because it is unclear what
features are effective for the task. In this paper we propose to utilize deep neural networks …
features are effective for the task. In this paper we propose to utilize deep neural networks …