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07/23/2023
Exploring the Integration of Speech Separation and Recognition with Self-Supervised Learning Representation
Neural speech separation has made remarkable progress and its integratio...
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06/23/2023
The CHiME-7 DASR Challenge: Distant Meeting Transcription with Multiple Devices in Diverse Scenarios
The CHiME challenges have played a significant role in the development a...
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05/29/2023
An Experimental Review of Speaker Diarization methods with application to Two-Speaker Conversational Telephone Speech recordings
We performed an experimental review of current diarization systems for t...
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04/18/2023
Neural Speech Enhancement with Very Low Algorithmic Latency and Complexity via Integrated Full- and Sub-Band Modeling
We propose FSB-LSTM, a novel long short-term memory (LSTM) based archite...
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03/21/2023
End-to-End Integration of Speech Separation and Voice Activity Detection for Low-Latency Diarization of Telephone Conversations
Recent works show that speech separation guided diarization (SSGD) is an...
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02/15/2023
Multi-Channel Target Speaker Extraction with Refinement: The WavLab Submission to the Second Clarity Enhancement Challenge
This paper describes our submission to the Second Clarity Enhancement Ch...
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11/22/2022
TF-GridNet: Integrating Full- and Sub-Band Modeling for Speech Separation
We propose TF-GridNet for speech separation. The model is a novel multi-...
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10/19/2022
End-to-End Integration of Speech Recognition, Dereverberation, Beamforming, and Self-Supervised Learning Representation
Self-supervised learning representation (SSLR) has demonstrated its sign...
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10/14/2022
Description and analysis of novelties introduced in DCASE Task 4 2022 on the baseline system
The aim of the Detection and Classification of Acoustic Scenes and Event...
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09/08/2022
TF-GridNet: Making Time-Frequency Domain Models Great Again for Monaural Speaker Separation
We propose TF-GridNet, a novel multi-path deep neural network (DNN) oper...
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07/19/2022
ESPnet-SE++: Speech Enhancement for Robust Speech Recognition, Translation, and Understanding
This paper presents recent progress on integrating speech separation and...
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06/19/2022
Resource-Efficient Separation Transformer
Transformers have recently achieved state-of-the-art performance in spee...
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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...
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02/06/2022
On Using Transformers for Speech-Separation
Transformers have enabled major improvements in deep learning. They ofte...
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11/20/2021
Implicit Acoustic Echo Cancellation for Keyword Spotting and Device-Directed Speech Detection
In many speech-enabled human-machine interaction scenarios, user speech ...
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11/08/2021
Learning Filterbanks for End-to-End Acoustic Beamforming
Recent work on monaural source separation has shown that performance can...
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10/20/2021
REAL-M: Towards Speech Separation on Real Mixtures
In recent years, deep learning based source separation has achieved impr...
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09/28/2021
The impact of non-target events in synthetic soundscapes for sound event detection
Detection and Classification Acoustic Scene and Events Challenge 2021 Ta...
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06/08/2021
SpeechBrain: A General-Purpose Speech Toolkit
SpeechBrain is an open-source and all-in-one speech toolkit. It is desig...
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04/06/2021
Learning to Rank Microphones for Distant Speech Recognition
Fully exploiting ad-hoc microphone networks for distant speech recogniti...
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10/25/2020
Attention is All You Need in Speech Separation
Recurrent Neural Networks (RNNs) have long been the dominant architectur...
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05/08/2020
Asteroid: the PyTorch-based audio source separation toolkit for researchers
This paper describes Asteroid, the PyTorch-based audio source separation...
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11/06/2019
The Speed Submission to DIHARD II: Contributions Lessons Learned
This paper describes the speaker diarization systems developed for the S...
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10/23/2019
