83 citations · 114 across the 10 of their papers we have counts for
3 papers · 1 filter
N-HANS: Introducing the Augsburg Neuro-Holistic Audio-eNhancement System
Shuo Liu, Gil Keren, Björn Schuller
N-HANS is a Python toolkit for in-the-wild audio enhancement, including speech, music, and general audio denoising, separation, and selective noise or source suppression. The funct…
AVEC 2019 Workshop and Challenge: State-of-Mind, Detecting Depression with AI, and Cross-Cultural Affect Recognition
Fabien Ringeval, Björn Schuller, Michel Valstar +14
The Audio/Visual Emotion Challenge and Workshop (AVEC 2019) "State-of-Mind, Detecting Depression with AI, and Cross-cultural Affect Recognition" is the ninth competition event aime…
Single-Channel Speech Separation with Auxiliary Speaker Embeddings
Shuo Liu, Gil Keren, Björn Schuller
We present a novel source separation model to decompose asingle-channel speech signal into two speech segments belonging to two different speakers. The proposed model is a neural n…