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Evaluating Self-Supervised Speech Representations for Speech Emotion Recognition

  • Published:2022 Issue: Volume:10 Page:124396-124407
  • ISSN:2169-3536
  • Container-title:IEEE Access
  • language:
  • Short-container-title:IEEE Access

Author:

Atmaja Bagus Tris1ORCID,Sasou Akira1ORCID

Affiliation:

1. National Institute of Advanced Industrial Science and Technology, Tsukuba, Japan

Funder

New Energy and Industrial Technology Development Organization (NEDO), Japan

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Cited by 12 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Comparing data-Driven and Handcrafted Features for Dimensional Emotion Recognition;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

2. Learning Arousal-Valence Representation from Categorical Emotion Labels of Speech;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

3. Automatic Speech Emotion Recognition: a Systematic Literature Review;International Journal of Speech Technology;2024-03

4. Novel Speech-Based Emotion Climate Recognition in Peers’ Conversations Incorporating Affect Dynamics and Temporal Convolutional Neural Networks;2024

5. Comparing hysteresis comparator and RMS threshold methods for automatic single cough segmentations;International Journal of Information Technology;2023-12-16
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