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06/26/2023
Factorised Speaker-environment Adaptive Training of Conformer Speech Recognition Systems
Rich sources of variability in natural speech present significant challe...
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05/18/2023
Use of Speech Impairment Severity for Dysarthric Speech Recognition
A key challenge in dysarthric speech recognition is the speaker-level di...
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02/28/2023
Exploring Self-supervised Pre-trained ASR Models For Dysarthric and Elderly Speech Recognition
Automatic recognition of disordered and elderly speech remains a highly ...
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02/15/2023
Confidence Score Based Speaker Adaptation of Conformer Speech Recognition Systems
Speaker adaptation techniques provide a powerful solution to customise a...
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11/17/2022
Unsupervised Model-based speaker adaptation of end-to-end lattice-free MMI model for speech recognition
Modeling the speaker variability is a key challenge for automatic speech...
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11/03/2022
Adversarial Data Augmentation Using VAE-GAN for Disordered Speech Recognition
Automatic recognition of disordered speech remains a highly challenging ...
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06/24/2022
Confidence Score Based Conformer Speaker Adaptation for Speech Recognition
A key challenge for automatic speech recognition (ASR) systems is to mod...
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06/23/2022
Two-pass Decoding and Cross-adaptation Based System Combination of End-to-end Conformer and Hybrid TDNN ASR Systems
Fundamental modelling differences between hybrid and end-to-end (E2E) au...
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06/15/2022
Exploiting Cross-domain And Cross-Lingual Ultrasound Tongue Imaging Features For Elderly And Dysarthric Speech Recognition
Articulatory features are inherently invariant to acoustic signal distor...
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03/28/2022
On-the-fly Feature Based Speaker Adaptation for Dysarthric and Elderly Speech Recognition
Automatic recognition of dysarthric and elderly speech highly challengin...
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03/19/2022
Exploiting Cross Domain Acoustic-to-articulatory Inverted Features For Disordered Speech Recognition
Articulatory features are inherently invariant to acoustic signal distor...
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02/21/2022
Speaker Adaptation Using Spectro-Temporal Deep Features for Dysarthric and Elderly Speech Recognition
Despite the rapid progress of automatic speech recognition (ASR) technol...
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01/24/2022
Investigation of Deep Neural Network Acoustic Modelling Approaches for Low Resource Accented Mandarin Speech Recognition
The Mandarin Chinese language is known to be strongly influenced by a ri...
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01/24/2022
Variational Auto-Encoder Based Variability Encoding for Dysarthric Speech Recognition
Dysarthric speech recognition is a challenging task due to acoustic vari...
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01/15/2022
Recent Progress in the CUHK Dysarthric Speech Recognition System
Despite the rapid progress of automatic speech recognition (ASR) technol...
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01/14/2022
Investigation of Data Augmentation Techniques for Disordered Speech Recognition
Disordered speech recognition is a highly challenging task. The underlyi...
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01/14/2022
Spectro-Temporal Deep Features for Disordered Speech Assessment and Recognition
Automatic recognition of disordered speech remains a highly challenging ...
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01/08/2022
Neural Architecture Search For LF-MMI Trained Time Delay Neural Networks
State-of-the-art automatic speech recognition (ASR) system development i...
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08/02/2021
Adversarial Data Augmentation for Disordered Speech Recognition
Automatic recognition of disordered speech remains a highly challenging ...
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12/14/2020
Bayesian Learning for Deep Neural Network Adaptation
A key task for speech recognition systems is to reduce the mismatch betw...
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07/17/2020