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Dynamic Curriculum Learning via Data Parameters for Noise Robust Keyword Spotting.

, , , , , and . ICASSP, page 6848-6852. IEEE, (2021)

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Sparseness-based multichannel nonnegative matrix factorization for blind source separation., , and . IWAENC, page 1-5. IEEE, (2016)ESPnet-SPK: full pipeline speaker embedding toolkit with reproducible recipes, self-supervised front-ends, and off-the-shelf models., , , , , , , and . CoRR, (2024)Unified approach for underdetermined BSS, VAD, dereverberation and DOA estimation with multichannel factorial HMM., and . GlobalSIP, page 562-566. IEEE, (2014)Improving Voice Trigger Detection with Metric Learning., , , , , , , , , and 2 other author(s). INTERSPEECH, page 1896-1900. ISCA, (2022)Deep mixture density network for statistical model-based feature enhancement., , , , and . ICASSP, page 251-255. IEEE, (2017)Unsupervised utterance-wise beamformer estimation with speech recognition-level criterion., , , and . ICASSP, page 5170-5174. IEEE, (2017)Nonnegative Matrix Factorization With Basis Clustering Using Cepstral Distance Regularization., , , and . IEEE ACM Trans. Audio Speech Lang. Process., 26 (6): 1025-1036 (2018)Does Single-channel Speech Enhancement Improve Keyword Spotting Accuracy? A Case Study., , , , and . CoRR, (2023)Speaker-Aware Neural Network Based Beamformer for Speaker Extraction in Speech Mixtures., , , , , and . INTERSPEECH, page 2655-2659. ISCA, (2017)Semi-Supervised Joint Enhancement of Spectral and Cepstral Sequences of Noisy Speech., , , and . INTERSPEECH, page 3753-3757. ISCA, (2016)