ArticleSensors (Basel, Switzerland)2019
Speech Emotion Recognition with Heterogeneous Feature Unification of Deep Neural Network.
Article in Sensors (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed.
- Enhancing Early Detection of Alzheimer's Disease: An Ensemble Model for Multi-Domain Cognitive Assessment Using Voice and Video.Sensors (Basel, Switzerland) · 2026Article
- Assessment of Pepper Robot's Speech Recognition System through the Lens of Machine Learning.Biomimetics (Basel, Switzerland) · 2024Article
- Exploring the performance of automatic speaker recognition using twin speech and deep learning-based artificial neural networks.Frontiers in artificial intelligence · 2024Article
- Enhancing Speech Emotion Recognition Using Dual Feature Extraction Encoders.Sensors (Basel, Switzerland) · 2023Article
- Frequency, Time, Representation and Modeling Aspects for Major Speech and Audio Processing Applications.Sensors (Basel, Switzerland) · 2022Article
- Machine Learning Algorithms for Detection and Classifications of Emotions in Contact Center Applications.Sensors (Basel, Switzerland) · 2022Article
- Algorithm Composition and Emotion Recognition Based on Machine Learning.Computational intelligence and neuroscience · 2022Article
- AttendAffectNet-Emotion Prediction of Movie Viewers Using Multimodal Fusion with Self-Attention.Sensors (Basel, Switzerland) · 2021Article
- Cascaded Convolutional Neural Network Architecture for Speech Emotion Recognition in Noisy Conditions.Sensors (Basel, Switzerland) · 2021Article
- Utterance Level Feature Aggregation with Deep Metric Learning for Speech Emotion Recognition.Sensors (Basel, Switzerland) · 2021Article
- On the Speech Properties and Feature Extraction Methods in Speech Emotion Recognition.Sensors (Basel, Switzerland) · 2021Article
- Multi-Path and Group-Loss-Based Network for Speech Emotion Recognition in Multi-Domain Datasets.Sensors (Basel, Switzerland) · 2021Article
- End-to-end speech emotion recognition using a novel context-stacking dilated convolution neural network.EURASIP journal on audio, speech, and music processing · 2021Article
- Psychological and Emotional Recognition of Preschool Children Using Artificial Neural Network.Frontiers in psychology · 2021Article
- Fusion-ConvBERT: Parallel Convolution and BERT Fusion for Speech Emotion Recognition.Sensors (Basel, Switzerland) · 2020Article
- Multimodal Automatic Coding of Client Behavior in Motivational Interviewing.Proceedings of the ... ACM International Conference on Multimodal Interaction. ICMI (Conference) · 2020Article
- Speech Emotion Recognition Based on Selective Interpolation Synthetic Minority Over-Sampling Technique in Small Sample Environment.Sensors (Basel, Switzerland) · 2020Article
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Authors and funding
5 authors.
Funding
Abstract
Automatic speech emotion recognition is a challenging task due to the gap between acoustic features and human emotions, which rely strongly on the discriminative acoustic features extracted for a given recognition task. We propose a novel deep neural architecture to extract the informative feature representations from the heterogeneous acoustic feature groups which may contain redundant and unrelated information leading to low emotion recognition performance in this work. After obtaining the informative features, a fusion network is trained to jointly learn the discriminative acoustic feature representation and a Support Vector Machine (SVM) is used as the final classifier for recognition task. Experimental results on the IEMOCAP dataset demonstrate that the proposed architecture improved the recognition performance, achieving accuracy of 64% compared to existing state-of-the-art approaches.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.