Speech emotion classification using attention based network and regularized feature selection

S Akinpelu, S Viriri - Scientific Reports, 2023 - nature.com
Speech emotion classification (SEC) has gained the utmost height and occupied a
conspicuous position within the research community in recent times. Its vital role in Human …

Automatic speech emotion recognition of younger school age children

Y Matveev, A Matveev, O Frolova, E Lyakso, N Ruban - Mathematics, 2022 - mdpi.com
This paper introduces the extended description of a database that contains emotional
speech in the Russian language of younger school age (8–12-year-old) children and …

A Neural Network Architecture for Children's Audio–Visual Emotion Recognition

A Matveev, Y Matveev, O Frolova, A Nikolaev, E Lyakso - Mathematics, 2023 - mdpi.com
Detecting and understanding emotions are critical for our daily activities. As emotion
recognition (ER) systems develop, we start looking at more difficult cases than just acted …

[HTML][HTML] Towards paralinguistic-only speech representations for end-to-end speech emotion recognition

G Ioannides, M Owen, A Fletcher, V Rozgic, C Wang - 2023 - amazon.science
We propose a methodology for information aggregation from the various transformer layer
outputs of a generic speech Encoder (eg WavLM, HuBERT) for the downstream task of …

Data augmentation using a 1D-CNN model with MFCC/MFMC features for speech emotion recognition

T Mary Little Flower, T Jaya… - Automatika, 2024 - Taylor & Francis
Speech emotion recognition (SER) is attractive in several domains, such as automated
translation, call centres, intelligent healthcare, and human–computer interaction. Deep …

Improved emotion differentiation under reduced acoustic variability of speech in autism

MM Duville, LM Alonso-Valerdi, DI Ibarra-Zarate - BMC medicine, 2024 - Springer
Background Socio-emotional impairments are among the diagnostic criteria for autism
spectrum disorder (ASD), but the actual knowledge has substantiated both altered and intact …

Autistic traits shape neuronal oscillations during emotion perception under attentional load modulation

MM Duville, DI Ibarra-Zarate, LM Alonso-Valerdi - Scientific Reports, 2023 - nature.com
Emotional content is particularly salient, but situational factors such as cognitive load may
disturb the attentional prioritization towards affective stimuli and interfere with their …

Speech emotion recognition from voice messages recorded in the wild

L Gómez-Zaragozá, Ó Valls, R del Amor… - arXiv preprint arXiv …, 2024 - arxiv.org
Emotion datasets used for Speech Emotion Recognition (SER) often contain acted or
elicited speech, limiting their applicability in real-world scenarios. In this work, we used the …

Improving Speech Emotion Recognition in Under-Resourced Languages via Speech-to-Speech Translation with Bootstrapping Data Selection

HC Lin, YC Lin, HC Chou, H Lee - arXiv preprint arXiv:2409.10985, 2024 - arxiv.org
Speech Emotion Recognition (SER) is a crucial component in developing general-purpose
AI agents capable of natural human-computer interaction. However, building robust …

[HTML][HTML] Perception of task-irrelevant affective prosody by typically developed and diagnosed children with Autism Spectrum Disorder under attentional loads …

MM Duville, CE Corona-González, RR De León… - Data in Brief, 2023 - Elsevier
The relevance of affective information triggers cognitive prioritisation, dictated by both the
attentional load of the relevant task, and socio-emotional abilities. This dataset provides …