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20172025
most citedWhispered-to-voiced Alaryngeal Speech Conversion with Generative Adversarial Networks

2 citations · 6 across the 8 of their papers we have counts for

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cs.SD2017

Language and Noise Transfer in Speech Enhancement Generative Adversarial Network

Santiago Pascual, Maruchan Park, Joan Serrà +2

Speech enhancement deep learning systems usually require large amounts of training data to operate in broad conditions or real applications. This makes the adaptability of those sy…

cs.LG2017

SEGAN: Speech Enhancement Generative Adversarial Network

Santiago Pascual, Antonio Bonafonte, Joan Serrà

Current speech enhancement techniques operate on the spectral domain and/or exploit some higher-level feature. The majority of them tackle a limited number of noise conditions and…