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Published in 2018 at "International Journal of Speech Technology"
DOI: 10.1007/s10772-018-9551-4
Abstract: Recent years have witnessed the great progress for speech emotion recognition using deep convolutional neural networks (DCNNs). In order to improve the performance of speech emotion recognition, a novel feature fusion method is proposed. With…
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Keywords:
speech;
emotion recognition;
network;
speech emotion ... See more keywords
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Published in 2019 at "International Journal of Speech Technology"
DOI: 10.1007/s10772-019-09605-w
Abstract: During the past decades, emotion recognition from speech has become one of the most explored areas in affective computing. These systems lack universality due to multilingualism. Research in this direction is restrained due to unavailability…
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Keywords:
emotion recognition;
classification;
speech emotion;
speech ... See more keywords
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Published in 2020 at "International Journal of Speech Technology"
DOI: 10.1007/s10772-020-09672-4
Abstract: In this digitally growing era speech emotion recognition plays significant role in several applications such as Human Computer Interface (HCI), lie detection, automotive system to assist steering, intelligent tutoring system, audio mining, security, Telecommunication, Interaction…
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Keywords:
feature extraction;
emotion recognition;
feature;
speech emotion ... See more keywords
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Published in 2021 at "International Journal of Speech Technology"
DOI: 10.1007/s10772-021-09870-8
Abstract: Over the past decade, automatic speech emotion detection has been a great challenge in the human–computer interaction area. Generally, individuals express their feelings explicitly or implicitly through words, facial expressions, gestures, or writing. Different datasets…
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Keywords:
speech emotion;
automatic speech;
speech;
emotion detection ... See more keywords
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Published in 2019 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-019-08222-8
Abstract: In recent years, Speech Emotion Recognition (SER) has received considerable attention in affective computing field. In this paper, an improved system for SER is proposed. In the feature extraction step, a hybrid high-dimensional rich feature…
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Keywords:
modified quantum;
quantum behaved;
emotion recognition;
speech emotion ... See more keywords
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Published in 2021 at "Neuroscience"
DOI: 10.1016/j.neuroscience.2021.06.002
Abstract: Being able to accurately perceive the emotion expressed by the facial or verbal expression from others is critical to successful social interaction. However, only few studies examined the multimodal interactions on speech emotion, and there…
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Keywords:
weighted rsa;
speech emotion;
speech;
audio visual ... See more keywords
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Published in 2024 at "Scientific Reports"
DOI: 10.1038/s41598-024-68864-z
Abstract: Speech emotion recognition (SER) technology involves feature extraction and prediction models. However, recognition efficiency tends to decrease because of gender differences and the large number of extracted features. Consequently, this paper introduces a SER system…
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Keywords:
gender;
speech emotion;
emotion recognition;
emotion ... See more keywords
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Published in 2025 at "Scientific reports"
DOI: 10.1038/s41598-025-28686-z
Abstract: Federated learning for speech emotion recognition faces fundamental challenges in simultaneously achieving high performance, privacy preservation, and model interpretability. This paper introduces FedSER-XAI, a novel framework that integrates Particle Swarm Optimization (PSO)-based feature selection, multi-stream…
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Keywords:
fedser xai;
speech emotion;
emotion recognition;
emotion ... See more keywords
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Published in 2025 at "Scientific Reports"
DOI: 10.1038/s41598-025-94727-2
Abstract: Extracting richer emotional representations from raw speech is one of the key approaches to improving the accuracy of Speech Emotion Recognition (SER). In recent years, there has been a trend in utilizing self-supervised learning (SSL)…
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Keywords:
speech emotion;
self supervised;
speech;
novel strategy ... See more keywords
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Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3068045
Abstract: During the last decade, Speech Emotion Recognition (SER) has emerged as an integral component within Human-computer Interaction (HCI) and other high-end speech processing systems. Generally, an SER system targets the speaker’s existence of varied emotions…
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Keywords:
speech emotion;
emotion recognition;
comprehensive review;
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Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3069818
Abstract: An important part of the human-computer interaction process is speech emotion recognition (SER), which has been receiving more attention in recent years. However, although a wide diversity of methods has been proposed in SER, these…
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Keywords:
speech emotion;
autoencoder;
emotion embedding;
emotion ... See more keywords