2 citations · 5 across the 5 of their papers we have counts for
3 papers · 1 filter
Diffusion-based Generative Speech Source Separation
Robin Scheibler, Youna Ji, Soo-Whan Chung +3
We propose DiffSep, a new single channel source separation method based on score-matching of a stochastic differential equation (SDE). We craft a tailored continuous time diffusion…
In defence of metric learning for speaker recognition
Joon Son Chung, Jaesung Huh, Seongkyu Mun +7
The objective of this paper is 'open-set' speaker recognition of unseen speakers, where ideal embeddings should be able to condense information into a compact utterance-level repre…
Orthonormal Embedding-based Deep Clustering for Single-channel Speech Separation
Soyeon Choe, Soo-Whan Chung, Youna Ji +1
Deep clustering is a deep neural network-based speech separation algorithm that first trains the mixed component of signals with high-dimensional embeddings, and then uses a cluste…