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06/12/2023
Multi-View Frequency-Attention Alternative to CNN Frontends for Automatic Speech Recognition
Convolutional frontends are a typical choice for Transformer-based autom...
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10/27/2022
Contextual-Utterance Training for Automatic Speech Recognition
Recent studies of streaming automatic speech recognition (ASR) recurrent...
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06/15/2021
Multi-channel Opus compression for far-field automatic speech recognition with a fixed bitrate budget
Automatic speech recognition (ASR) in the cloud allows the use of larger...
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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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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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04/02/2019
Unsupervised training of neural mask-based beamforming
We present an unsupervised training approach for a neural network-based ...
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04/02/2019
Unsupervised training of a deep clustering model for multichannel blind source separation
We propose a training scheme to train neural network-based source separa...
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12/28/2017
