562 citations · 795 across the 36 of their papers we have counts for
5 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…
ESPnet-SE++: Speech Enhancement for Robust Speech Recognition, Translation, and Understanding
Yen-Ju Lu, Xuankai Chang, Chenda Li +10
This paper presents recent progress on integrating speech separation and enhancement (SSE) into the ESPnet toolkit. Compared with the previous ESPnet-SE work, numerous features hav…
End-to-End Multi-speaker ASR with Independent Vector Analysis
Robin Scheibler, Wangyou Zhang, Xuankai Chang +2
We develop an end-to-end system for multi-channel, multi-speaker automatic speech recognition. We propose a frontend for joint source separation and dereverberation based on the in…
Spatial Loss for Unsupervised Multi-channel Source Separation
Kohei Saijo, Robin Scheibler
We propose a spatial loss for unsupervised multi-channel source separation. The proposed loss exploits the duality of direction of arrival (DOA) and beamforming: the steering and b…
MLP-ASR: Sequence-length agnostic all-MLP architectures for speech recognition
Jin Sakuma, Tatsuya Komatsu, Robin Scheibler
We propose multi-layer perceptron (MLP)-based architectures suitable for variable length input. MLP-based architectures, recently proposed for image classification, can only be use…