Quality-Aware Bag of Modulation Spectrum Features for Robust Speech Emotion Recognition
Author:
Affiliation:
1. Telecommunications, INRS Energy Materials and Telecommunications Research Centre Montreal, Montreal, QC, Canada
Funder
Natural Sciences and Engineering Research Council of Canada
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Human-Computer Interaction,Software
Link
http://xplorestaging.ieee.org/ielx7/5165369/9964459/09813563.pdf?arnumber=9813563
Reference63 articles.
1. Bag-of-audio-words based on autoencoder codebook for continuous emotion prediction;senoussaoui,2019
2. End-to-End Continuous Emotion Recognition from Video Using 3D Convlstm Networks
3. Multimodal Multi-task Learning for Dimensional and Continuous Emotion Recognition
4. Multi-Modal Audio, Video and Physiological Sensor Learning for Continuous Emotion Prediction
5. From individual to group-level emotion recognition: EmotiW 5.0
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3. Enhancing Dimensional Emotion Recognition from Speech through Modulation-Filtered Cochleagram and Parallel Attention Recurrent Network;Electronics;2023-11-12
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