research
∙
08/18/2023
HumanLiff: Layer-wise 3D Human Generation with Diffusion Model
3D human generation from 2D images has achieved remarkable progress thro...
share
research
∙
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...
research
∙
05/18/2023
ConsistentNeRF: Enhancing Neural Radiance Fields with 3D Consistency for Sparse View Synthesis
Neural Radiance Fields (NeRF) has demonstrated remarkable 3D reconstruct...
research
∙
03/22/2023
SHERF: Generalizable Human NeRF from a Single Image
Existing Human NeRF methods for reconstructing 3D humans typically rely ...
research
∙
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...
research
∙
08/28/2022
Bayesian Neural Network Language Modeling for Speech Recognition
State-of-the-art neural network language models (NNLMs) represented by l...
research
∙
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...
research
∙
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...
research
∙
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...
research
∙
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...
research
∙
03/31/2022
Neural Architecture Search for Speech Emotion Recognition
Deep neural networks have brought significant advancements to speech emo...
research
∙
03/29/2022
Generalizing Few-Shot NAS with Gradient Matching
Efficient performance estimation of architectures drawn from large searc...
research
∙
03/19/2022
Exploiting Cross Domain Acoustic-to-articulatory Inverted Features For Disordered Speech Recognition
Articulatory features are inherently invariant to acoustic signal distor...
research
∙
01/15/2022
Recent Progress in the CUHK Dysarthric Speech Recognition System
Despite the rapid progress of automatic speech recognition (ASR) technol...
research
∙
01/14/2022
Investigation of Data Augmentation Techniques for Disordered Speech Recognition
Disordered speech recognition is a highly challenging task. The underlyi...
research
∙
01/14/2022
Spectro-Temporal Deep Features for Disordered Speech Assessment and Recognition
Automatic recognition of disordered speech remains a highly challenging ...
research
∙
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...
research
∙
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...
research
∙
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 ...
research
∙
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 ...
research
∙
09/13/2021
DHA: End-to-End Joint Optimization of Data Augmentation Policy, Hyper-parameter and Architecture
Automated machine learning (AutoML) usually involves several crucial com...
research
∙
02/09/2021
Bayesian Transformer Language Models for Speech Recognition
State-of-the-art neural language models (LMs) represented by Transformer...
research
∙
09/02/2020
Understanding the wiring evolution in differentiable neural architecture search
Controversy exists on whether differentiable neural architecture search ...
research
∙
07/17/2020
Neural Architecture Search for Speech Recognition
Deep neural networks (DNNs) based automatic speech recognition (ASR) sys...
research
∙
04/08/2020
Bayesian x-vector: Bayesian Neural Network based x-vector System for Speaker Verification
Speaker verification systems usually suffer from the mismatch problem be...
research
∙
02/21/2020
