In indoor scenes, reverberation is a crucial factor in degrading the
per...
Sound event detection (SED) often suffers from the data deficiency probl...
This paper works on non-autoregressive automatic speech recognition. A
u...
This work proposes a neural network to extensively exploit spatial
infor...
In recent years, self-supervised learning (SSL) has emerged as a popular...
In this paper we present our contribution to the TSAR-2022 Shared Task o...
State-of-the-art text simplification (TS) systems adopt end-to-end neura...
This work proposes a multichannel narrow-band speech separation network....
In multichannel speech enhancement, both spectral and spatial informatio...
This work proposes a new learning target based on reverberation time
sho...
Self-supervised learning (SSL) learns knowledge from a large amount of
u...
This work proposes a subband network for single-channel speech
dereverbe...
This work proposes a multichannel speech separation method with narrow-b...
Multiple moving sound source localization in real-world scenarios remain...
Direct-path relative transfer function (DP-RTF) refers to the ratio betw...
Sound event detection (SED), as a core module of acoustic environmental
...
This paper addresses the problem of multi-channel multi-speech separatio...
Dynamic objects in the environment, such as people and other agents, lea...
This paper addresses the problem of microphone array generalization for
...
Inspired by the conclusion that human choose the visual cortex regions w...
Sound event detection is a core module for acoustic environmental analys...
This paper addresses the problem of sound-source localization (SSL) with...
This paper proposes a full-band and sub-band fusion model, named as
Full...
In single-channel speech enhancement, methods based on full-band spectra...
This paper proposes a delayed subband LSTM network for online monaural
(...
In this paper we address the problem of multichannel speech enhancement ...
This paper addresses the problem of under-determinded speech source
sepa...
We propose a method using a long short-term memory (LSTM) network to est...
This paper addresses the problem of multichannel online dereverberation....
This paper presents an online multiple-speaker localization and tracking...
This paper addresses the problem of online multiple-speaker localization...
This paper addresses the problem of speech separation and enhancement fr...
This paper addresses the problem of audio source recovery from multichan...
Speaker diarization consists of assigning speech signals to people engag...