b'Chin-Hui Lee'

research

∙ 03/11/2023

The Multimodal Information based Speech Processing (MISP) 2022 Challenge: Audio-Visual Diarization and Recognition

The Multi-modal Information based Speech Processing (MISP) challenge aim...

0 Zhe Wang, et al. ∙

research

∙ 11/02/2022

A Quantum Kernel Learning Approach to Acoustic Modeling for Spoken Command Recognition

We propose a quantum kernel learning (QKL) framework to address the inhe...

0 Chao-Han Huck Yang, et al. ∙

research

∙ 10/26/2022

Deep Learning Based Audio-Visual Multi-Speaker DOA Estimation Using Permutation-Free Loss Function

In this paper, we propose a deep learning based multi-speaker direction ...

0 Qing Wang, et al. ∙

research

∙ 10/12/2022

An Ensemble Teacher-Student Learning Approach with Poisson Sub-sampling to Differential Privacy Preserving Speech Recognition

We propose an ensemble learning framework with Poisson sub-sampling to e...

0 Chao-Han Huck Yang, et al. ∙

research

∙ 10/11/2022

An Experimental Study on Private Aggregation of Teacher Ensemble Learning for End-to-End Speech Recognition

Differential privacy (DP) is one data protection avenue to safeguard use...

0 Chao-Han Huck Yang, et al. ∙

research

∙ 03/07/2022

A study on joint modeling and data augmentation of multi-modalities for audio-visual scene classification

In this paper, we propose two techniques, namely joint modeling and data...

10 Qing Wang, et al. ∙

research

∙ 02/17/2022

A Study of Designing Compact Audio-Visual Wake Word Spotting System Based on Iterative Fine-Tuning in Neural Network Pruning

Audio-only-based wake word spotting (WWS) is challenging under noisy con...

2 Hengshun Zhou, et al. ∙

research

∙ 02/10/2022

The USTC-Ximalaya system for the ICASSP 2022 multi-channel multi-party meeting transcription (M2MeT) challenge

We propose two improvements to target-speaker voice activity detection (...

1 Maokui He, et al. ∙

research

∙ 11/17/2021

Information Fusion in Attention Networks Using Adaptive and Multi-level Factorized Bilinear Pooling for Audio-visual Emotion Recognition

Multimodal emotion recognition is a challenging task in emotion computin...

0 Hengshun Zhou, et al. ∙

research

∙ 10/16/2021

A Variational Bayesian Approach to Learning Latent Variables for Acoustic Knowledge Transfer

We propose a variational Bayesian (VB) approach to learning distribution...

0 Hu Hu, et al. ∙

research

∙ 07/06/2021

Separation Guided Speaker Diarization in Realistic Mismatched Conditions

We propose a separation guided speaker diarization (SGSD) approach by fu...

0 Shu-Tong Niu, et al. ∙

research

∙ 07/03/2021

A Lottery Ticket Hypothesis Framework for Low-Complexity Device-Robust Neural Acoustic Scene Classification

We propose a novel neural model compression strategy combining data augm...

7 Chao-Han Huck Yang, et al. ∙

research

∙ 04/02/2021

PATE-AAE: Incorporating Adversarial Autoencoder into Private Aggregation of Teacher Ensembles for Spoken Command Classification

We propose using an adversarial autoencoder (AAE) to replace generative ...

0 Chao-Han Huck Yang, et al. ∙

research

∙ 03/19/2021

USTC-NELSLIP System Description for DIHARD-III Challenge

This system description describes our submission system to the Third DIH...

5 Yuxuan Wang, et al. ∙

research

∙ 01/08/2021

A Four-Stage Data Augmentation Approach to ResNet-Conformer Based Acoustic Modeling for Sound Event Localization and Detection

In this paper, we propose a novel four-stage data augmentation approach ...

0 Qing Wang, et al. ∙

research

∙ 12/28/2020

Lip-reading with Hierarchical Pyramidal Convolution and Self-Attention

In this paper, we propose a novel deep learning architecture to improvin...

3 Hang Chen, et al. ∙

research

∙ 11/03/2020

A Two-Stage Approach to Device-Robust Acoustic Scene Classification

To improve device robustness, a highly desirable key feature of a compet...

7 Hu Hu, et al. ∙

research

∙ 10/26/2020

Decentralizing Feature Extraction with Quantum Convolutional Neural Network for Automatic Speech Recognition

We propose a novel decentralized feature extraction approach in federate...

0 Chao-Han Huck Yang, et al. ∙

research

∙ 09/21/2020

Correlating Subword Articulation with Lip Shapes for Embedding Aware Audio-Visual Speech Enhancement

In this paper, we propose a visual embedding approach to improving embed...

0 Hang Chen, et al. ∙

research

∙ 08/12/2020

On Mean Absolute Error for Deep Neural Network Based Vector-to-Vector Regression

In this paper, we exploit the properties of mean absolute error (MAE) as...

0 Jun Qi, et al. ∙

research

∙ 08/04/2020

Analyzing Upper Bounds on Mean Absolute Errors for Deep Neural Network Based Vector-to-Vector Regression

In this paper, we show that, in vector-to-vector regression utilizing de...

0 Jun Qi, et al. ∙

research

∙ 07/31/2020

Relational Teacher Student Learning with Neural Label Embedding for Device Adaptation in Acoustic Scene Classification

In this paper, we propose a domain adaptation framework to address the d...

0 Hu Hu, et al. ∙

research

∙ 07/31/2020

An Acoustic Segment Model Based Segment Unit Selection Approach to Acoustic Scene Classification with Partial Utterances

In this paper, we propose a sub-utterance unit selection framework to re...

0 Hu Hu, et al. ∙

research

∙ 07/25/2020

Exploring Deep Hybrid Tensor-to-Vector Network Architectures for Regression Based Speech Enhancement

This paper investigates different trade-offs between the number of model...

0 Jun Qi, et al. ∙

research

∙ 07/16/2020

Device-Robust Acoustic Scene Classification Based on Two-Stage Categorization and Data Augmentation

In this technical report, we present a joint effort of four groups, name...

0 Hu Hu, et al. ∙

research

∙ 04/25/2020

L-Vector: Neural Label Embedding for Domain Adaptation

We propose a novel neural label embedding (NLE) scheme for the domain ad...

0 Zhong Meng, et al. ∙

research

∙ 03/31/2020

Characterizing Speech Adversarial Examples Using Self-Attention U-Net Enhancement

Recent studies have highlighted adversarial examples as ubiquitous threa...

0 Chao-Han Huck Yang, et al. ∙

research

∙ 02/20/2020

Enhanced Adversarial Strategically-Timed Attacks against Deep Reinforcement Learning

Recent deep neural networks based techniques, especially those equipped ...

15 Chao-Han Huck Yang, et al. ∙

research

∙ 02/03/2020

Tensor-to-Vector Regression for Multi-channel Speech Enhancement based on Tensor-Train Network

We propose a tensor-to-vector regression approach to multi-channel speec...

0 Jun Qi, et al. ∙

research

∙ 11/28/2018

Acoustics-guided evaluation (AGE): a new measure for estimating performance of speech enhancement algorithms for robust ASR

One challenging problem of robust automatic speech recognition (ASR) is ...

0 Li Chai, et al. ∙

research

∙ 05/28/2018

Standard Cell Library Evaluation with Multiple lithography-compliant verification and Improved Synopsys Pin Access Checking Utility

While standard cell layouts are drawn with minimum design rules to maxim...

0 Yongfu Li, et al. ∙

research

∙ 05/28/2018

Multiple-Lithography-Compliant Verification for Standard Cell Library Development Flow

Starting from 22-nm, a standard cell must be designed to be full lithogr...

0 Yongfu Li, et al. ∙

research

∙ 05/25/2018

Constraining the Synopsys Pin Access Checker Utility for Improved Standard Cells Library Verification Flow

While standard cell layouts are drawn with minimum design rules for maxi...

0 Yongfu Li, et al. ∙

research

∙ 05/02/2018

Convolutional-Recurrent Neural Networks for Speech Enhancement

We propose an end-to-end model based on convolutional and recurrent neur...

0 Han Zhao, et al. ∙

research

∙ 04/27/2015

A Probabilistic Framework for Representing Dialog Systems and Entropy-Based Dialog Management through Dynamic Stochastic State Evolution

In this paper, we present a probabilistic framework for goal-driven spok...

0 Ji Wu, et al. ∙

research

∙ 03/06/2015

Maximum a Posteriori Adaptation of Network Parameters in Deep Models

We present a Bayesian approach to adapting parameters of a well-trained ...

0 Zhen Huang, et al. ∙

Chin-Hui Lee

Featured Co-authors