research
∙
09/19/2023
FoleyGen: Visually-Guided Audio Generation
Recent advancements in audio generation have been spurred by the evoluti...
share
research
∙
09/15/2023
Stack-and-Delay: a new codebook pattern for music generation
In language modeling based music generation, a generated waveform is rep...
research
∙
06/11/2023
Reducing Barriers to Self-Supervised Learning: HuBERT Pre-training with Academic Compute
Self-supervised learning (SSL) has led to great strides in speech proces...
research
∙
05/22/2023
Scaling Speech Technology to 1,000+ Languages
Expanding the language coverage of speech technology has the potential t...
research
∙
05/15/2023
Ripple sparse self-attention for monaural speech enhancement
The use of Transformer represents a recent success in speech enhancement...
research
∙
04/10/2023
ESPnet-ST-v2: Multipurpose Spoken Language Translation Toolkit
ESPnet-ST-v2 is a revamp of the open-source ESPnet-ST toolkit necessitat...
research
∙
07/19/2022
ESPnet-SE++: Speech Enhancement for Robust Speech Recognition, Translation, and Understanding
This paper presents recent progress on integrating speech separation and...
research
∙
02/24/2022
Towards Low-distortion Multi-channel Speech Enhancement: The ESPNet-SE Submission to The L3DAS22 Challenge
This paper describes our submission to the L3DAS22 Challenge Task 1, whi...
research
∙
11/15/2021
Time-Frequency Attention for Monaural Speech Enhancement
Most studies on speech enhancement generally don't consider the energy d...
research
∙
10/28/2021
TorchAudio: Building Blocks for Audio and Speech Processing
This document describes version 0.10 of torchaudio: building blocks for ...
research
∙
12/02/2020
Combining Spatial Clustering with LSTM Speech Models for Multichannel Speech Enhancement
Recurrent neural networks using the LSTM architecture can achieve signif...
research
∙
12/02/2020
Improved MVDR Beamforming Using LSTM Speech Models to Clean Spatial Clustering Masks
Spatial clustering techniques can achieve significant multi-channel nois...
research
∙
12/02/2020
Enhancement of Spatial Clustering-Based Time-Frequency Masks using LSTM Neural Networks
Recent works have shown that Deep Recurrent Neural Networks using the LS...
research
∙
11/03/2019
