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Computation and Memory Efficient Noise Adaptation of Wav2Vec2.0 for Noisy Speech Emotion Recognition with Skip Connection Adapters.

, , , , and . INTERSPEECH, page 1888-1892. ISCA, (2023)

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Adapting a Self-Supervised Speech Representation for Noisy Speech Emotion Recognition by Using Contrastive Teacher-Student Learning., , , , and . ICASSP, page 1-5. IEEE, (2023)Separation of Emotional and Reconstruction Embeddings on Ladder Network to Improve Speech Emotion Recognition Robustness in Noisy Conditions., , , , and . Interspeech, page 2871-2875. ISCA, (2021)Not All Features are Equal: Selection of Robust Features for Speech Emotion Recognition in Noisy Environments., , , , and . ICASSP, page 6447-6451. IEEE, (2022)Test-retest reliability of task-based measures of voluntary persistence., , and . CogSci, cognitivesciencesociety.org, (2022)Selective Acoustic Feature Enhancement for Speech Emotion Recognition With Noisy Speech., , , , and . IEEE ACM Trans. Audio Speech Lang. Process., (2024)Computation and Memory Efficient Noise Adaptation of Wav2Vec2.0 for Noisy Speech Emotion Recognition with Skip Connection Adapters., , , , and . INTERSPEECH, page 1888-1892. ISCA, (2023)Voice Activity Detection with Teacher-Student Domain Emulation., , , , , and . Interspeech, page 4374-4378. ISCA, (2021)Describe Where You Are: Improving Noise-Robustness for Speech Emotion Recognition with Text Description of the Environment., , , , and . CoRR, (2024)