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; …

对语音情感识别的研究现状和进展进行了归纳和总结, 对未来语音情感识别技术发展趋势进行了
展望. 从5 个角度逐步展开进行归纳总结, 即情感描述模型, 具有代表性的情感语音库 …

In this paper we explore one of the key aspects in building an emotion recognition system:
generating suitable feature representations. We generate feature representations from both …

Recent advances in deep learning and computer vision have spawned a new class of media
forgeries known as deepfakes, which typically consist of artificially generated human faces …

Automatic classification of depression using audiovisual cues can help towards its objective
diagnosis. In this paper, we present a multimodal depression classification system as a part …

The limited battery capacity of sensor nodes has become the biggest impediment to wireless
sensor network (WSN) applications. Two recent breakthroughs in the areas of wireless …

Although social anxiety and depression are common, they are often underdiagnosed and
undertreated, in part due to difficulties identifying and accessing individuals in need of …

In this work, we present a comprehensive study on the use of deep neural networks (DNNs)
for automatic language identification (LID). Motivated by the recent success of using DNNs …

This paper focuses on finding suitable features to robustly recognize emotions and evaluate
customer satisfaction (CS) from speech in real acoustic scenarios. The classification of …

We propose to integrate the attention mechanism into deep recurrent neural network models
for speech emotion recognition. This is based on the intuition that it is beneficial to …