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Complex spectrogram enhancement by convolutional neural network with multi-metrics learning.

, , , and . MLSP, page 1-6. IEEE, (2017)

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MetricGAN: Generative Adversarial Networks based Black-box Metric Scores Optimization for Speech Enhancement., , , and . ICML, volume 97 of Proceedings of Machine Learning Research, page 2031-2041. PMLR, (2019)Noise Reduction in ECG Signals Using Fully Convolutional Denoising Autoencoders., , , , , and . IEEE Access, (2019)A novel compression algorithm for IMFs of Hilbert-Huang transform., , and . DSP, page 233-238. IEEE, (2014)SpeechBrain: A General-Purpose Speech Toolkit., , , , , , , , , and 11 other author(s). CoRR, (2021)Improving Perceptual Quality by Phone-Fortified Perceptual Loss Using Wasserstein Distance for Speech Enhancement., , , , and . Interspeech, page 196-200. ISCA, (2021)OSSEM: one-shot speaker adaptive speech enhancement using meta learning., , , , and . INTERSPEECH, page 981-985. ISCA, (2022)A Study of Joint Effect on Denoising Techniques and Visual Cues to Improve Speech Intelligibility in Cochlear Implant Simulation., , , , and . IEEE Trans. Cogn. Dev. Syst., 13 (4): 984-994 (2021)Deep Learning-Based Non-Intrusive Multi-Objective Speech Assessment Model With Cross-Domain Features., , , , , and . IEEE ACM Trans. Audio Speech Lang. Process., (2023)Boosting Objective Scores of a Speech Enhancement Model by MetricGAN Post-processing., , , , , , , , , and 3 other author(s). APSIPA, page 455-459. IEEE, (2020)iMetricGAN: Intelligibility Enhancement for Speech-in-Noise Using Generative Adversarial Network-Based Metric Learning., , , and . INTERSPEECH, page 1336-1340. ISCA, (2020)