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07/06/2023
Audio-visual End-to-end Multi-channel Speech Separation, Dereverberation and Recognition
Accurate recognition of cocktail party speech containing overlapping spe...
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06/27/2023
Hyper-parameter Adaptation of Conformer ASR Systems for Elderly and Dysarthric Speech Recognition
Automatic recognition of disordered and elderly speech remains highly ch...
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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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06/23/2023
Towards Effective and Compact Contextual Representation for Conformer Transducer Speech Recognition Systems
Current ASR systems are mainly trained and evaluated at the utterance le...
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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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03/14/2023
A Hierarchical Regression Chain Framework for Affective Vocal Burst Recognition
As a common way of emotion signaling via non-linguistic vocalizations, v...
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03/14/2023
Leveraging Pretrained Representations with Task-related Keywords for Alzheimer's Disease Detection
With the global population aging rapidly, Alzheimer's disease (AD) is pa...
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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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10/29/2022
Exploiting prompt learning with pre-trained language models for Alzheimer's Disease detection
Early diagnosis of Alzheimer's disease (AD) is crucial in facilitating p...
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10/25/2022
Disentangled Speech Representation Learning for One-Shot Cross-lingual Voice Conversion Using β-VAE
We propose an unsupervised learning method to disentangle speech into co...
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08/28/2022
Bayesian Neural Network Language Modeling for Speech Recognition
State-of-the-art neural network language models (NNLMs) represented by l...
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06/28/2022
Exploring linguistic feature and model combination for speech recognition based automatic AD detection
Early diagnosis of Alzheimer's disease (AD) is crucial in facilitating p...
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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
Conformer Based Elderly Speech Recognition System for Alzheimer's Disease Detection
Early diagnosis of Alzheimer's disease (AD) is crucial in facilitating p...
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06/23/2022
Towards Green ASR: Lossless 4-bit Quantization of a Hybrid TDNN System on the 300-hr Switchboard Corpus
State of the art time automatic speech recognition (ASR) systems are bec...
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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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05/13/2022
Personalized Adversarial Data Augmentation for Dysarthric and Elderly Speech Recognition
Despite the rapid progress of automatic speech recognition (ASR) technol...
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04/05/2022
Audio-visual multi-channel speech separation, dereverberation and recognition
Despite the rapid advance of automatic speech recognition (ASR) technolo...
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03/31/2022
Neural Architecture Search for Speech Emotion Recognition
Deep neural networks have brought significant advancements to speech emo...
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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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02/18/2022
Speaker Identity Preservation in Dysarthric Speech Reconstruction by Adversarial Speaker Adaptation
Dysarthric speech reconstruction (DSR), which aims to improve the qualit...
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02/18/2022
VCVTS: Multi-speaker Video-to-Speech synthesis via cross-modal knowledge transfer from voice conversion
Though significant progress has been made for speaker-dependent Video-to...
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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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11/29/2021
Mixed Precision Low-bit Quantization of Neural Network Language Models for Speech Recognition
State-of-the-art language models (LMs) represented by long-short term me...
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11/29/2021
Mixed Precision DNN Qunatization for Overlapped Speech Separation and Recognition
Recognition of overlapped speech has been a highly challenging task to d...
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11/29/2021
Mixed Precision of Quantization of Transformer Language Models for Speech Recognition
State-of-the-art neural language models represented by Transformers are ...
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11/29/2021
Low-bit Quantization of Recurrent Neural Network Language Models Using Alternating Direction Methods of Multipliers
The high memory consumption and computational costs of Recurrent neural ...
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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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07/19/2021
Channel-wise Gated Res2Net: Towards Robust Detection of Synthetic Speech Attacks
Existing approaches for anti-spoofing in automatic speaker verification ...
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07/07/2021
VAENAR-TTS: Variational Auto-Encoder based Non-AutoRegressive Text-to-Speech Synthesis
This paper describes a variational auto-encoder based non-autoregressive...
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06/18/2021
VQMIVC: Vector Quantization and Mutual Information-Based Unsupervised Speech Representation Disentanglement for One-shot Voice Conversion
One-shot voice conversion (VC), which performs conversion across arbitra...
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06/18/2021
Unsupervised Domain Adaptation for Dysarthric Speech Detection via Domain Adversarial Training and Mutual Information Minimization
Dysarthric speech detection (DSD) systems aim to detect characteristics ...
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02/09/2021
Bayesian Transformer Language Models for Speech Recognition
State-of-the-art neural language models (LMs) represented by Transformer...
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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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10/28/2020
Replay and Synthetic Speech Detection with Res2net Architecture
Existing approaches for replay and synthetic speech detection still lack...
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09/06/2020
Any-to-Many Voice Conversion with Location-Relative Sequence-to-Sequence Modeling
This paper proposes an any-to-many location-relative, sequence-to-sequen...
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09/02/2020
Understanding the wiring evolution in differentiable neural architecture search
Controversy exists on whether differentiable neural architecture search ...
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07/17/2020
Neural Architecture Search for Speech Recognition
Deep neural networks (DNNs) based automatic speech recognition (ASR) sys...
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06/11/2020
