88 citations · 305 across the 22 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…