A review on speech emotion recognition: a survey, recent advances, challenges, and the influence of noise
SM George, PM Ilyas - Neurocomputing, 2023 - Elsevier
Affective Computing systems can detect the emotional state and mindset of an individual.
Speech Emotion Recognition (SER) is a unimodal affect computing system based on …
Speech Emotion Recognition (SER) is a unimodal affect computing system based on …
Development of video-based emotion recognition using deep learning with Google Colab
Emotion recognition using images, videos, or speech as input is considered as a hot topic in
the field of research over some years. With the introduction of deep learning techniques, eg …
the field of research over some years. With the introduction of deep learning techniques, eg …
Frontotemporal dementia and glucose metabolism
LR Garrett, T Niccoli - Frontiers in Neuroscience, 2022 - frontiersin.org
Frontotemporal dementia (FTD), hallmarked by antero-temporal degeneration in the human
brain, is the second most common early onset dementia. FTD is a diverse disease with three …
brain, is the second most common early onset dementia. FTD is a diverse disease with three …
milVAD: A bag-level MNIST modelling of voice activity detection using deep multiple instance learning
Abstract Voice Activity Detection (VAD) which is used as an onset step for majority of the
applications in Digital Speech Processing (DSP) area is defined as the process of identifying …
applications in Digital Speech Processing (DSP) area is defined as the process of identifying …
Evaluating the impact of voice activity detection on speech emotion recognition for autistic children
Individuals with autism are known to face challenges with emotion regulation, and express
their affective states in a variety of ways. With this in mind, an increasing amount of research …
their affective states in a variety of ways. With this in mind, an increasing amount of research …
A methodology for emergency calls severity prediction: from pre-processing to BERT-based classifiers
Emergency call centers are often required to properly assess and prioritise emergency
situations pre-intervention, in order to provide the required assistance to the callers …
situations pre-intervention, in order to provide the required assistance to the callers …
On the optimum speech segment length for depression detection
MF Alghifari, TS Gunawan, MAW Nordin… - … conference on smart …, 2019 - ieeexplore.ieee.org
Depression is a worldwide problem, which according to the World Health Organization, is
the largest contributor to global disability. According to a study, around 18336 Malaysians …
the largest contributor to global disability. According to a study, around 18336 Malaysians …
Development of Javanese Speech Emotion Database (Java-SED)
Javanese is one of the most widely spoken regional languages in Indonesia, alongside
other regional languages. Emotions can be recognized in a variety of ways, including facial …
other regional languages. Emotions can be recognized in a variety of ways, including facial …
Feature parameters extraction and affective computing of voice message for social media environment
P Jiang, C Guo, Y Dai - Computer Science and Information Systems, 2023 - doiserbia.nb.rs
Voice message in social media environment includes a large number of conversation
natural languages, which increases the difficulty of emotion tagging and affective computing …
natural languages, which increases the difficulty of emotion tagging and affective computing …
Embedded Discriminant Analysis based Speech Activity Detection for Unsupervised Stress Speech Clustering
BH Prasetio, H Tamura, K Tanno - 2020 Joint 9th International …, 2020 - ieeexplore.ieee.org
Speech activity detection (SAD) or sometimes called voice activity detection (VAD), is a
crucial part of most speech-related applications. The SAD system serves to ensure the …
crucial part of most speech-related applications. The SAD system serves to ensure the …