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AHRNN: Attention-Based Hybrid Robust Neural Network for emotion recognition.

, , , , , and . Cogn. Comput. Syst., 4 (1): 85-95 (2022)

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AHRNN: Attention-Based Hybrid Robust Neural Network for emotion recognition., , , , , and . Cogn. Comput. Syst., 4 (1): 85-95 (2022)Focal Loss for Punctuation Prediction., , , , and . INTERSPEECH, page 721-725. ISCA, (2020)Spectrograms Fusion-based End-to-end Robust Automatic Speech Recognition., , , , , and . APSIPA ASC, page 438-442. IEEE, (2021)Deep Attention Fusion Feature for Speech Separation with End-to-End Post-filter Method., , , , , and . CoRR, (2020)Gated Recurrent Fusion with Joint Training Framework for Robust End-to-End Speech Recognition., , , , , and . CoRR, (2020)SceneFake: An Initial Dataset and Benchmarks for Scene Fake Audio Detection., , , , , , and . CoRR, (2022)End-to-End Post-Filter for Speech Separation With Deep Attention Fusion Features., , , , , and . IEEE ACM Trans. Audio Speech Lang. Process., (2020)Spatial and spectral deep attention fusion for multi-channel speech separation using deep embedding features., , , , and . CoRR, (2020)TaBE: Decoupling spatial and spectral processing with Taylor's unfolding method in the beamspace domain for multi-channel speech enhancement., , , , , and . Inf. Fusion, (January 2024)Gated Recurrent Fusion of Spatial and Spectral Features for Multi-Channel Speech Separation with Deep Embedding Representations., , , , and . INTERSPEECH, page 3321-3325. ISCA, (2020)