248 citations · 631 across the 27 of their papers we have counts for
Showing cs.SDShow all
2 papers · 1 filter
cs.SD2025
Alternating Approach-Putt Models for Multi-Stage Speech Enhancement
Iksoon Jeong, Kyung-Joong Kim, Kang-Hun Ahn
Speech enhancement using artificial neural networks aims to remove noise from noisy speech signals while preserving the speech content. However, speech enhancement networks often i…
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…