Mingling or Misalignment? Temporal Shift for Speech Emotion Recognition with Pre-Trained Representations

Author:

Shen Siyuan1,Liu Feng1,Zhou Aimin1

Affiliation:

1. East China Normal University,Shanghai Institute of AI for Education,Shanghai,China

Publisher

IEEE

Reference19 articles.

1. CyclicAugment: Speech Data Random Augmentation with Cosine Annealing Scheduler for Auotmatic Speech Recognition

2. Tsm: Temporal shift module for efficient video understanding;liu;Proceedings of the IEEE/CVF International Conference on Computer Vision,2019

3. Residual networks behave like ensembles of relatively shallow networks;veit;Advances in neural information processing systems,2016

4. Sequence transduction with recurrent neural networks;graves;arXiv preprint arXiv 1211 3711,2012

5. A ConvNet for the 2020s

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1. Vesper: A Compact and Effective Pretrained Model for Speech Emotion Recognition;IEEE Transactions on Affective Computing;2024-07

2. Disentanglement Network: Disentangle the Emotional Features from Acoustic Features for Speech Emotion Recognition;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

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5. Frame-Level Emotional State Alignment Method for Speech Emotion Recognition;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

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