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On Loss Functions and Recurrency Training for GAN-Based Speech Enhancement Systems.

, , , , , , , and . INTERSPEECH, page 3266-3270. ISCA, (2020)

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On Loss Functions for Deep-Learning Based T60 Estimation., , and . ICASSP, page 486-490. IEEE, (2021)Incorporating Intra-Spectral Dependencies with a Recurrent Output Layer for Improved Speech Enhancement., and . MLSP, page 1-6. IEEE, (2019)Deep neural networks for estimating speech model activations., , and . ICASSP, page 5113-5117. IEEE, (2015)Building Trust Through Voice: How Vocal Tone Impacts User Perception of Attractiveness of Voice Assistants., , , , , and . CoRR, (2024)On Loss Functions and Recurrency Training for GAN-Based Speech Enhancement Systems., , , , , , , and . INTERSPEECH, page 3266-3270. ISCA, (2020)A Pyramid Recurrent Network for Predicting Crowdsourced Speech-Quality Ratings of Real-World Signals., and . INTERSPEECH, page 4631-4635. ISCA, (2020)An Attention Enhanced Multi-Task Model for Objective Speech Assessment in Real-World Environments., and . ICASSP, page 911-915. IEEE, (2020)Complex ratio masking for joint enhancement of magnitude and phase., , and . ICASSP, page 5220-5224. IEEE, (2016)Speech dereverberation and denoising using complex ratio masks., and . ICASSP, page 5590-5594. IEEE, (2017)Long-Term SNR Estimation Using Noise Residuals and a Two-Stage Deep-Learning Framework., and . LVA/ICA, volume 10891 of Lecture Notes in Computer Science, page 351-360. Springer, (2018)