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 …
conspicuous position within the research community in recent times. Its vital role in Human …
Automatic speech emotion recognition of younger school age children
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 …
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
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 …
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
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 …
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 …
translation, call centres, intelligent healthcare, and human–computer interaction. Deep …
Improved emotion differentiation under reduced acoustic variability of speech in autism
Background Socio-emotional impairments are among the diagnostic criteria for autism
spectrum disorder (ASD), but the actual knowledge has substantiated both altered and intact …
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
Emotional content is particularly salient, but situational factors such as cognitive load may
disturb the attentional prioritization towards affective stimuli and interfere with their …
disturb the attentional prioritization towards affective stimuli and interfere with their …
Speech emotion recognition from voice messages recorded in the wild
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 …
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
Speech Emotion Recognition (SER) is a crucial component in developing general-purpose
AI agents capable of natural human-computer interaction. However, building robust …
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 …
attentional load of the relevant task, and socio-emotional abilities. This dataset provides …