Shoukang Hu | DeepAI

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∙ 08/18/2023

HumanLiff: Layer-wise 3D Human Generation with Diffusion Model

3D human generation from 2D images has achieved remarkable progress thro...

0 Shoukang Hu, et al. ∙

∙ 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...

0 Tianzi Wang, et al. ∙

∙ 05/18/2023

ConsistentNeRF: Enhancing Neural Radiance Fields with 3D Consistency for Sparse View Synthesis

Neural Radiance Fields (NeRF) has demonstrated remarkable 3D reconstruct...

0 Shoukang Hu, et al. ∙

∙ 03/22/2023

SHERF: Generalizable Human NeRF from a Single Image

Existing Human NeRF methods for reconstructing 3D humans typically rely ...

0 Shoukang Hu, et al. ∙

∙ 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...

0 Yi Wang, et al. ∙

∙ 08/28/2022

Bayesian Neural Network Language Modeling for Speech Recognition

State-of-the-art neural network language models (NNLMs) represented by l...

0 Boyang Xue, et al. ∙

∙ 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...

2 Yi Wang, et al. ∙

∙ 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...

2 Tianzi Wang, et al. ∙

∙ 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...

0 Junhao Xu, et al. ∙

∙ 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...

0 Mingyu Cui, et al. ∙

∙ 03/31/2022

Neural Architecture Search for Speech Emotion Recognition

Deep neural networks have brought significant advancements to speech emo...

0 Xixin Wu, et al. ∙

∙ 03/29/2022

Generalizing Few-Shot NAS with Gradient Matching

Efficient performance estimation of architectures drawn from large searc...

0 Shoukang Hu, et al. ∙

∙ 03/19/2022

Exploiting Cross Domain Acoustic-to-articulatory Inverted Features For Disordered Speech Recognition

Articulatory features are inherently invariant to acoustic signal distor...

0 Shujie Hu, et al. ∙

∙ 01/15/2022

Recent Progress in the CUHK Dysarthric Speech Recognition System

Despite the rapid progress of automatic speech recognition (ASR) technol...

0 Shansong Liu, et al. ∙

∙ 01/14/2022

Investigation of Data Augmentation Techniques for Disordered Speech Recognition

Disordered speech recognition is a highly challenging task. The underlyi...

0 Mengzhe Geng, et al. ∙

∙ 01/14/2022

Spectro-Temporal Deep Features for Disordered Speech Assessment and Recognition

Automatic recognition of disordered speech remains a highly challenging ...

0 Mengzhe Geng, et al. ∙

∙ 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...

0 Shoukang Hu, et al. ∙

∙ 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...

0 Junhao Xu, et al. ∙

∙ 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 ...

0 Junhao Xu, et al. ∙

∙ 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 ...

0 Junhao Xu, et al. ∙

∙ 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...

0 Kaichen Zhou, et al. ∙

∙ 02/09/2021

Bayesian Transformer Language Models for Speech Recognition

State-of-the-art neural language models (LMs) represented by Transformer...

0 Boyang Xue, et al. ∙

∙ 09/02/2020

Understanding the wiring evolution in differentiable neural architecture search

Controversy exists on whether differentiable neural architecture search ...

18 Sirui Xie, et al. ∙

∙ 07/17/2020

Neural Architecture Search for Speech Recognition

Deep neural networks (DNNs) based automatic speech recognition (ASR) sys...

0 Shoukang Hu, et al. ∙

∙ 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...

0 Xu Li, et al. ∙

∙ 02/21/2020

DSNAS: Direct Neural Architecture Search without Parameter Retraining

If NAS methods are solutions, what is the problem? Most existing NAS met...

0 Shoukang Hu, et al. ∙

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