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Boosting Noise Robustness of Acoustic Model via Deep Adversarial Training.

, , , , , and . ICASSP, page 5034-5038. IEEE, (2018)

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Boosting Noise Robustness of Acoustic Model via Deep Adversarial Training., , , , , and . ICASSP, page 5034-5038. IEEE, (2018)Text-independent speaker verification based on relation of MFCC components., and . ISCSLP, page 57-60. IEEE, (2004)Masked multi-center angular margin loss for language recognition., , , and . EURASIP J. Audio Speech Music. Process., 2022 (1): 17 (2022)A New Spoken Language Teaching Tech: Combining Multi-attention and AdaIN for One-shot Cross Language Voice Conversion., , , , , and . ISCSLP, page 101-104. IEEE, (2022)Rhythm-controllable Attention with High Robustness for Long Sentence Speech Synthesis., , , , , , , , and . ISCSLP, page 220-224. IEEE, (2022)Deep Neural Networks with Multistate Activation Functions., , , and . Comput. Intell. Neurosci., (2015)A Combination of Multi-state Activation Functions, Mean-normalisation and Singular Value Decomposition for learning Deep Neural Networks., , , and . IJCNN, page 1-8. IEEE, (2015)A Study on Fine-Tuning wav2vec2.0 Model for the Task of Mispronunciation Detection and Diagnosis., , , , and . Interspeech, page 4448-4452. ISCA, (2021)Multi-task learning deep neural networks for speech feature denoising., , , , , and . INTERSPEECH, page 2464-2468. ISCA, (2015)Power-normalized PLP (PNPLP) feature for robust speech recognition., , , , and . ISCSLP, page 224-228. IEEE, (2012)