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09/15/2023
Mixture Encoder Supporting Continuous Speech Separation for Meeting Recognition
Many real-life applications of automatic speech recognition (ASR) requir...
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07/21/2023
MeetEval: A Toolkit for Computation of Word Error Rates for Meeting Transcription Systems
MeetEval is an open-source toolkit to evaluate all kinds of meeting tran...
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06/21/2023
Mixture Encoder for Joint Speech Separation and Recognition
Multi-speaker automatic speech recognition (ASR) is crucial for many rea...
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06/01/2023
A Teacher-Student approach for extracting informative speaker embeddings from speech mixtures
We introduce a monaural neural speaker embeddings extractor that compute...
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03/07/2023
TS-SEP: Joint Diarization and Separation Conditioned on Estimated Speaker Embeddings
Since diarization and source separation of meeting data are closely rela...
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11/29/2022
On Word Error Rate Definitions and their Efficient Computation for Multi-Speaker Speech Recognition Systems
We present a general framework to compute the word error rate (WER) of A...
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11/15/2022
Reverberation as Supervision for Speech Separation
This paper proposes reverberation as supervision (RAS), a novel unsuperv...
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07/28/2022
Utterance-by-utterance overlap-aware neural diarization with Graph-PIT
Recent speaker diarization studies showed that integration of end-to-end...
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05/02/2022
A Meeting Transcription System for an Ad-Hoc Acoustic Sensor Network
We propose a system that transcribes the conversation of a typical meeti...
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04/04/2022
An Initialization Scheme for Meeting Separation with Spatial Mixture Models
Spatial mixture model (SMM) supported acoustic beamforming has been exte...
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11/15/2021
Monaural source separation: From anechoic to reverberant environments
Impressive progress in neural network-based single-channel speech source...
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10/29/2021
SA-SDR: A novel loss function for separation of meeting style data
Many state-of-the-art neural network-based source separation systems use...
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07/30/2021
Graph-PIT: Generalized permutation invariant training for continuous separation of arbitrary numbers of speakers
Automatic transcription of meetings requires handling of overlapped spee...
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07/30/2021
Speeding Up Permutation Invariant Training for Source Separation
Permutation invariant training (PIT) is a widely used training criterion...
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06/10/2021
A Comparison and Combination of Unsupervised Blind Source Separation Techniques
Unsupervised blind source separation methods do not require a training p...
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02/23/2021
End-to-End Dereverberation, Beamforming, and Speech Recognition with Improved Numerical Stability and Advanced Frontend
Recently, the end-to-end approach has been successfully applied to multi...
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11/30/2020
Convolutive Transfer Function Invariant SDR training criteria for Multi-Channel Reverberant Speech Separation
Time-domain training criteria have proven to be very effective for the s...
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11/07/2020
ESPnet-se: end-to-end speech enhancement and separation toolkit designed for asr integration
We present ESPnet-SE, which is designed for the quick development of spe...
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06/04/2020
Multi-talker ASR for an unknown number of sources: Joint training of source counting, separation and ASR
Most approaches to multi-talker overlapped speech separation and recogni...
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05/20/2020
Jointly optimal denoising, dereverberation, and source separation
This paper proposes methods that can optimize a Convolutional BeamFormer...
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12/18/2019
End-to-end training of time domain audio separation and recognition
The rising interest in single-channel multi-speaker speech separation sp...
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12/18/2019
Ene-to-end training of time domain audio separation and recognition
The rising interest in single-channel multi-speaker speech separation sp...
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11/20/2019
Demystifying TasNet: A Dissecting Approach
In recent years time domain speech separation has excelled over frequenc...
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10/30/2019
SMS-WSJ: Database, performance measures, and baseline recipe for multi-channel source separation and recognition
We present a multi-channel database of overlapping speech for training, ...
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10/30/2019
Jointly optimal dereverberation and beamforming
We previously proposed an optimal (in the maximum likelihood sense) conv...
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09/26/2019
An Investigation into the Effectiveness of Enhancement in ASR Training and Test for CHiME-5 Dinner Party Transcription
Despite the strong modeling power of neural network acoustic models, spe...
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05/29/2019
