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DNN-Based Feature Enhancement Using Joint Training Framework for Robust Multichannel Speech Recognition.

, , , и . INTERSPEECH, стр. 3027-3031. ISCA, (2016)

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Tae Wan Kang

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DNN-based monaural speech enhancement with temporal and spectral variations equalization., , и . Digit. Signal Process., (2018)Multichannel noise reduction using low order RTF estimate., , , и . INTERSPEECH, стр. 953-956. ISCA, (2010)DNN-Based Voice Activity Detection with Multi-Task Learning., и . IEICE Trans. Inf. Syst., 99-D (2): 550-553 (2016)DNN-based voice activity detection with local feature shift technique., , , , и . APSIPA, стр. 1-4. IEEE, (2016)NMF-based Target Source Separation Using Deep Neural Network., , , и . IEEE Signal Process. Lett., 22 (2): 229-233 (2015)Partially Overlapped Inference for Long-Form Speech Recognition., , , , и . ICASSP, стр. 5989-5993. IEEE, (2021)DNN-Based Feature Enhancement Using Joint Training Framework for Robust Multichannel Speech Recognition., , , и . INTERSPEECH, стр. 3027-3031. ISCA, (2016)Integrated DNN-based model adaptation technique for noise-robust speech recognition., , , и . ICASSP, стр. 5245-5249. IEEE, (2017)Knowledge Distillation Using Output Errors for Self-attention End-to-end Models., , , , , , и . ICASSP, стр. 6181-6185. IEEE, (2019)Multi-Domain Knowledge Distillation via Uncertainty-Matching for End-to-End ASR Models., , , , , , и . Interspeech, стр. 2531-2535. ISCA, (2021)