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Improving Transformer-Based Speech Recognition Systems with Compressed Structure and Speech Attributes Augmentation.

, , , , , and . INTERSPEECH, page 4400-4404. ISCA, (2019)

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Nonlinear processing in auditory system., and . NSIP, page 301-305. Bogaziçi University Printhouse, (1999)Method of Estimating Signal-to-Noise Ratio Based on Optimal Design for Sub-band Voice Activity Detection., , , and . J. Inf. Hiding Multim. Signal Process., 8 (6): 1446-1459 (2017)Multi-Metrics Learning for Speech Enhancement., , , and . CoRR, (2017)A Novel Temporal Attentive-Pooling based Convolutional Recurrent Architecture for Acoustic Signal Enhancement., , , , , , , and . IEEE Trans. Artif. Intell., 3 (5): 833-842 (2022)Vowel Production Manifold: Intrinsic Factor Analysis of Vowel Articulation., and . IEEE Trans. Speech Audio Process., 18 (5): 1053-1062 (2010)Noise Reduction Based Random Matrix Theory., , , and . ISCSLP, page 285-288. IEEE, (2008)A Robust Voice Activity Detection Based on Noise Eigenspace Projection., , , , and . ISCSLP, volume 4274 of Lecture Notes in Computer Science, page 76-86. Springer, (2006)Minimum Bayes risk training of CTC acoustic models in maximum a posteriori based decoding framework., , and . ICASSP, page 4855-4859. IEEE, (2017)Speaker Adaptive Training using Deep Neural Networks., , , , and . ICASSP, page 6349-6353. IEEE, (2014)Semi-supervised ensemble DNN acoustic model training., , , , and . ICASSP, page 5270-5274. IEEE, (2017)