Previous Multimodal Information based Speech Processing (MISP) challenge...
Neural speech separation has made remarkable progress and its integratio...
The CHiME challenges have played a significant role in the development a...
In reverberant conditions with multiple concurrent speakers, each microp...
We propose FSB-LSTM, a novel long short-term memory (LSTM) based archite...
This paper describes our submission to the Second Clarity Enhancement
Ch...
Emulating the human ability to solve the cocktail party problem, i.e., f...
We propose TF-GridNet for speech separation. The model is a novel multi-...
We propose TF-GridNet, a novel multi-path deep neural network (DNN) oper...
This paper presents recent progress on integrating speech separation and...
Deep learning based speech enhancement in the short-term Fourier transfo...
Frame-online speech enhancement systems in the short-time Fourier transf...
Existing systems for sound event localization and detection (SELD) typic...
This paper describes our submission to the L3DAS22 Challenge Task 1, whi...
Speech enhancement is a critical component of many user-oriented audio
a...
The cocktail party problem aims at isolating any source of interest with...
A promising approach for multi-microphone speech separation involves two...
A promising approach for speech dereverberation is based on supervised
l...
We investigate the effectiveness of convolutive prediction, a novel
form...
Deep neural network (DNN) based end-to-end optimization in the complex
t...
This study investigates robust speaker localization for con-tinuous spee...
We propose multi-microphone complex spectral mapping, a simple way of
ap...
This study proposes a multi-microphone complex spectral mapping approach...
This work investigates alternation between spectral separation using
mas...
This study investigates phase reconstruction for deep learning based mon...
This paper proposes an end-to-end approach for single-channel
speaker-in...