Deep and shallow features fusion based on deep convolutional neural network for speech emotion recognition
Sign Up to like & getrecommendations! 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… read more here.
Keywords: speech; emotion recognition; network; speech emotion ... See more keywords
Multistage classification scheme to enhance speech emotion recognition
Sign Up to like & getrecommendations! 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… read more here.
Keywords: emotion recognition; classification; speech emotion; speech ... See more keywords
Feature extraction algorithms to improve the speech emotion recognition rate
Sign Up to like & getrecommendations! 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… read more here.
Keywords: feature extraction; emotion recognition; feature; speech emotion ... See more keywords
Automatic speech emotion detection using hybrid of gray wolf optimizer and naïve Bayes
Sign Up to like & getrecommendations! 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… read more here.
Keywords: speech emotion; automatic speech; speech; emotion detection ... See more keywords
Speech emotion recognition using discriminative dimension reduction by employing a modified quantum-behaved particle swarm optimization algorithm
Sign Up to like & getrecommendations! 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… read more here.
Keywords: modified quantum; quantum behaved; emotion recognition; speech emotion ... See more keywords
Weighted RSA: An Improved Framework on the Perception of Audio-visual Affective Speech in Left Insula and Superior Temporal Gyrus
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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… read more here.
Keywords: weighted rsa; speech emotion; speech; audio visual ... See more keywords
A Comprehensive Review of Speech Emotion Recognition Systems
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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… read more here.
Keywords: speech emotion; emotion recognition; comprehensive review;
Autoencoder With Emotion Embedding for Speech Emotion Recognition
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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… read more here.
Keywords: speech emotion; autoencoder; emotion embedding; emotion ... See more keywords
Bangla Speech Emotion Recognition and Cross-Lingual Study Using Deep CNN and BLSTM Networks
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DOI: 10.1109/access.2021.3136251
Abstract: In this study, we have presented a deep learning-based implementation for speech emotion recognition (SER). The system combines a deep convolutional neural network (DCNN) and a bidirectional long-short term memory (BLSTM) network with a time-distributed… read more here.
Keywords: emotion recognition; study; cross lingual; speech emotion ... See more keywords
Robust Speech Emotion Recognition Using CNN+LSTM Based on Stochastic Fractal Search Optimization Algorithm
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DOI: 10.1109/access.2022.3172954
Abstract: One of the main challenges facing the current approaches of speech emotion recognition is the lack of a dataset large enough to train the currently available deep learning models properly. Therefore, this paper proposes a… read more here.
Keywords: recognition; speech; search; emotion recognition ... See more keywords
Investigation of the Effect of Increased Dimension Levels in Speech Emotion Recognition
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DOI: 10.1109/access.2022.3194039
Abstract: In human-machine interaction systems, speech emotion recognition plays a key role. Recognition of categorical emotions has made a great improvement during the last few decades, but emotion recognition of spontaneous speech is still very challenging.… read more here.
Keywords: recognition; emotion; emotion recognition; dimension levels ... See more keywords