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Major Depressive Disorder Discrimination Using Vocal Acoustic Features

Journal of Affective Disorders, 2018
BACKGROUND The voice carries various information produced by vibrations of the vocal cords and the vocal tract. Though many studies have reported a relationship between vocal acoustic features and depression, including mel-frequency cepstrum coefficients
Kiyotaka Nemoto   +2 more
exaly   +2 more sources

Investigation of Acoustic and Visual Features for Acoustic Scene Classification

Expert Systems With Applications, 2019
Abstract Acoustic scene classification has gained great interests in recent years due to its diverse applications. Various acoustic and visual features have been proposed and evaluated. However, few studies have investigated acoustic and visual feature aggregation for acoustic scene classification.
Jie Xie
exaly   +2 more sources

Multiple Acoustic Features Speech Emotion Recognition Using Cross-Attention Transformer

IEEE International Conference on Acoustics, Speech, and Signal Processing, 2023
Speech emotion recognition (SER) is a challenging task whose performance heavily relies on suitable affect-salient representations. Recently, transformer has exhibited outstanding qualities in learning relevant representations associated with this task ...
Yujie He, N. Minematsu, D. Saito
semanticscholar   +1 more source

HiFi-GAN-2: Studio-Quality Speech Enhancement via Generative Adversarial Networks Conditioned on Acoustic Features

IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2021
Modern speech content creation tasks such as podcasts, video voice-overs, and audio books require studio-quality audio with full bandwidth and balanced equalization (EQ).
Jia-Qi Su, Ze-Yu Jin, Adam Finkelstein
semanticscholar   +1 more source

Deep learning in automatic detection of dysphonia: Comparing acoustic features and developing a generalizable framework.

International journal of language and communication disorders, 2022
BACKGROUND Auditory-perceptual assessment of voice is a subjective procedure. Artificial intelligence with deep learning (DL) may improve the consistency and accessibility of this task. It is unclear how a DL model performs on different acoustic features.
Zhen Chen   +4 more
semanticscholar   +1 more source

The acoustic features of human laughter

The Journal of the Acoustical Society of America, 2001
Remarkably little is known about the acoustic features of laughter. Here, acoustic outcomes are reported for 1024 naturally produced laugh bouts recorded from 97 young adults as they watched funny video clips. Analyses focused on temporal features, production modes, source- and filter-related effects, and indexical cues to laugher sex and individual ...
J A, Bachorowski   +2 more
openaire   +2 more sources

Acoustic Emission Recognition Based on Spectrogram and Acoustic Features

2020
In order to improve the level and efficiency of fault diagnosis, an acoustic emission recognition method based on spectrum and acoustic features is proposed. The proposed system is composed of CNN and BiLSTM networks. Firstly, the amplitude spectrum and group delay phase spectrum of AE signals are extracted, and the amplitude-phase spectrum composed of
Wei Wang, Weidong Liu, Jinming Liu
openaire   +1 more source

Estimating Trust in Conversational Agent with Lexical and Acoustic Features

Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 2022
As NASA moves to long-duration space exploration operations, there is an increasing need for human-agent cooperation that requires real-time trust estimation by virtual agents.
Mengyao Li   +3 more
semanticscholar   +1 more source

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