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IS2020: Advancing Multiple Instance Learning with Attention Modeling for Categorical Speech Emotion
Speech Emotion Recognition with Multi-task Learning - (3 minutes introduction)
Speech emotion recognition using self-supervised learning with domain-specific audiovisual tasks
Towards the explainability of Multimodal Speech Emotion Recognition - (3 minutes introduction)
Augmenting Generative Adversarial Networks for Speech Emotion Recognition
Semi Supervised Autoencoders for Speech Emotion Recognition- IEEE PROJECTS 2018
Multi-task self-supervised learning for Robust Speech Recognition
Multitask Learning From Augmented Auxiliary Data for Improving Speech Emotion Recognition
[Interspeech2021] Learning Fine-Grained Cross Modality Excitement for Speech Emotion Recognition
Speech Emotion Recognition based on Attention Weight Correction Using Word-level Confidence Meas...
002. Automatic Recognition of Emotions in Speech: Models and Methods - Andreas Wendemuth
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Last Updated: September 30, 2026
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Summary
In this tutorial I will explain the paper " Authors: Siddique Latif Presented @ AI Technology Summer School 2021, AI Singapore. In this tutorial, I explain the paper " Adaptive Domain Aware Representation Learning for Advancing Multiple Instance Learning with Attention Modeling for Categorical Video of our study presented at Interspeech 2022. Title: Towards the explainability of Multimodal Paper Title: Augmenting Generative This video describes our paper on " Learning Fine-Grained Cross Modality Excitement for
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