Speech analysis for health: Current state-of-the-art and the increasing impact of deep learning
Due to the complex and intricate nature associated with their production, the acoustic-
prosodic properties of a speech signal are modulated with a range of health related effects …
prosodic properties of a speech signal are modulated with a range of health related effects …
An overview of affective speech synthesis and conversion in the deep learning era
Speech is the fundamental mode of human communication, and its synthesis has long been
a core priority in human–computer interaction research. In recent years, machines have …
a core priority in human–computer interaction research. In recent years, machines have …
The Geneva minimalistic acoustic parameter set (GeMAPS) for voice research and affective computing
Work on voice sciences over recent decades has led to a proliferation of acoustic
parameters that are used quite selectively and are not always extracted in a similar fashion …
parameters that are used quite selectively and are not always extracted in a similar fashion …
Deep learning for human affect recognition: Insights and new developments
Automatic human affect recognition is a key step towards more natural human-computer
interaction. Recent trends include recognition in the wild using a fusion of audiovisual and …
interaction. Recent trends include recognition in the wild using a fusion of audiovisual and …
Speech emotion recognition from 3D log-mel spectrograms with deep learning network
H Meng, T Yan, F Yuan, H Wei - IEEE access, 2019 - ieeexplore.ieee.org
Speech emotion recognition is a vital and challenging task that the feature extraction plays a
significant role in the SER performance. With the development of deep learning, we put our …
significant role in the SER performance. With the development of deep learning, we put our …
A survey of personality computing
Personality is a psychological construct aimed at explaining the wide variety of human
behaviors in terms of a few, stable and measurable individual characteristics. In this respect …
behaviors in terms of a few, stable and measurable individual characteristics. In this respect …
Deep learning for robust feature generation in audiovisual emotion recognition
Automatic emotion recognition systems predict high-level affective content from low-level
human-centered signal cues. These systems have seen great improvements in classification …
human-centered signal cues. These systems have seen great improvements in classification …
Towards emotionally aware AI smart classroom: Current issues and directions for engineering and education
Future smart classrooms that we envision will significantly enhance learning experience and
seamless communication among students and teachers using real-time sensing and …
seamless communication among students and teachers using real-time sensing and …
Alzheimer's disease and automatic speech analysis: a review
MLB Pulido, JBA Hernández, MÁF Ballester… - Expert systems with …, 2020 - Elsevier
The objective of this paper is to present the state of-the-art relating to automatic speech and
voice analysis techniques as applied to the monitoring of patients suffering from Alzheimer's …
voice analysis techniques as applied to the monitoring of patients suffering from Alzheimer's …
Multimodal fusion of bert-cnn and gated cnn representations for depression detection
Depression is a common, but serious mental disorder that affects people all over the world.
Besides providing an easier way of diagnosing the disorder, a computer-aided automatic …
Besides providing an easier way of diagnosing the disorder, a computer-aided automatic …