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FNeural Speech Enhancement with Very Low Algorithmic Latency and Complexity via Integrated full- and sub-band Modeling.

, , , , , and . ICASSP, page 1-5. IEEE, (2023)

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TF-GridNet: Integrating Full- and Sub-Band Modeling for Speech Separation., , , , , and . IEEE ACM Trans. Audio Speech Lang. Process., (2023)Metric Learning for User-Defined Keyword Spotting., , , , , , and . ICASSP, page 1-5. IEEE, (2023)FNeural Speech Enhancement with Very Low Algorithmic Latency and Complexity via Integrated full- and sub-band Modeling., , , , , and . ICASSP, page 1-5. IEEE, (2023)Boosting Unknown-number Speaker Separation with Transformer Decoder-based Attractor., , , , and . CoRR, (2024)TF-GridNet: Integrating Full- and Sub-Band Modeling for Speech Separation., , , , , and . CoRR, (2022)Masked Token Similarity Transfer for Compressing Transformer-Based ASR Models., , , , , , , and . ICASSP, page 1-5. IEEE, (2023)Neural Speech Enhancement with Very Low Algorithmic Latency and Complexity via Integrated Full- and Sub-Band Modeling., , , , , and . CoRR, (2023)Metric Learning for User-defined Keyword Spotting., , , , , , and . CoRR, (2022)Joint Unsupervised and Supervised Learning for Context-Aware Language Identification., , , , , and . ICASSP, page 1-5. IEEE, (2023)That's What I Said: Fully-Controllable Talking Face Generation., , , , , , , and . ACM Multimedia, page 3827-3836. ACM, (2023)