1.9k citations · 3.6k across the 72 of their papers we have counts for
Showing 2016Show all
3 papers · 1 filter
cs.SD2016★ 436 cited
Deep attractor network for single-microphone speaker separation
Zhuo Chen, Yi Luo, Nima Mesgarani
Despite the overwhelming success of deep learning in various speech processing tasks, the problem of separating simultaneous speakers in a mixture remains challenging. Two major di…
stat.ML2016★ 181 cited
Deep Clustering and Conventional Networks for Music Separation: Stronger Together
Yi Luo, Zhuo Chen, John R. Hershey +2
Deep clustering is the first method to handle general audio separation scenarios with multiple sources of the same type and an arbitrary number of sources, performing impressively…
cs.LG2016
Single-Channel Multi-Speaker Separation using Deep Clustering
Yusuf Isik, Jonathan Le Roux, Zhuo Chen +2
Deep clustering is a recently introduced deep learning architecture that uses discriminatively trained embeddings as the basis for clustering. It was recently applied to spectrogra…