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Emotion classification: How does an automated system compare to Naive human coders?

, , , , , and . ICASSP, page 2274-2278. IEEE, (2016)

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Front-end speech enhancement for commercial speaker verification systems., , , and . Speech Commun., (2018)All-neural beamformer for continuous speech separation., , , , , , and . CoRR, (2021)Icassp 2022 Deep Noise Suppression Challenge., , , , , , , , , and 1 other author(s). ICASSP, page 9271-9275. IEEE, (2022)Fast Real-time Personalized Speech Enhancement: End-to-End Enhancement Network (E3Net) and Knowledge Distillation., , , and . INTERSPEECH, page 991-995. ISCA, (2022)Unsupervised Learning Approach to Feature Analysis for Automatic Speech Emotion Recognition., , and . ICASSP, page 5099-5103. IEEE, (2018)Adversarial Training for Speech Super-Resolution., , and . J. Sel. Topics Signal Processing, 13 (2): 347-358 (2019)Speech Super Resolution Generative Adversarial Network., and . ICASSP, page 3717-3721. IEEE, (2019)Noise-Resilient Training Method for Face Landmark Generation From Speech., , , and . IEEE ACM Trans. Audio Speech Lang. Process., (2020)Breaking the trade-off in personalized speech enhancement with cross-task knowledge distillation., , and . CoRR, (2022)Real-Time Joint Personalized Speech Enhancement and Acoustic Echo Cancellation with E3Net., , , , , and . CoRR, (2022)