7 citations · 16 across the 11 of their papers we have counts for
11 papers
ToneUnit: A Speech Discretization Approach for Tonal Language Speech Synthesis
Dehua Tao, Daxin Tan, Yu Ting Yeung +2
Representing speech as discretized units has numerous benefits in supporting downstream spoken language processing tasks. However, the approach has been less explored in speech syn…
Improving End-to-End Speech Processing by Efficient Text Data Utilization with Latent Synthesis
Jianqiao Lu, Wenyong Huang, Nianzu Zheng +3
Training a high performance end-to-end speech (E2E) processing model requires an enormous amount of labeled speech data, especially in the era of data-centric artificial intelligen…
CorrectSpeech: A Fully Automated System for Speech Correction and Accent Reduction
Daxin Tan, Liqun Deng, Nianzu Zheng +4
This study propose a fully automated system for speech correction and accent reduction. Consider the application scenario that a recorded speech audio contains certain errors, e.g.…
Reducing language context confusion for end-to-end code-switching automatic speech recognition
Shuai Zhang, Jiangyan Yi, Zhengkun Tian +3
Code-switching deals with alternative languages in communication process. Training end-to-end (E2E) automatic speech recognition (ASR) systems for code-switching is especially chal…
SPIRAL: Self-supervised Perturbation-Invariant Representation Learning for Speech Pre-Training
Wenyong Huang, Zhenhe Zhang, Yu Ting Yeung +2
We introduce a new approach for speech pre-training named SPIRAL which works by learning denoising representation of perturbed data in a teacher-student framework. Specifically, gi…
CoCA-MDD: A Coupled Cross-Attention based Framework for Streaming Mispronunciation Detection and Diagnosis
Nianzu Zheng, Liqun Deng, Wenyong Huang +7
Mispronunciation detection and diagnosis (MDD) is a popular research focus in computer-aided pronunciation training (CAPT) systems. End-to-end (e2e) approaches are becoming dominan…
EditSpeech: A Text Based Speech Editing System Using Partial Inference and Bidirectional Fusion
Daxin Tan, Liqun Deng, Yu Ting Yeung +3
This paper presents the design, implementation and evaluation of a speech editing system, named EditSpeech, which allows a user to perform deletion, insertion and replacement of wo…
VQMIVC: Vector Quantization and Mutual Information-Based Unsupervised Speech Representation Disentanglement for One-shot Voice Conversion
Disong Wang, Liqun Deng, Yu Ting Yeung +3
One-shot voice conversion (VC), which performs conversion across arbitrary speakers with only a single target-speaker utterance for reference, can be effectively achieved by speech…
Unsupervised Domain Adaptation for Dysarthric Speech Detection via Domain Adversarial Training and Mutual Information Minimization
Disong Wang, Liqun Deng, Yu Ting Yeung +3
Dysarthric speech detection (DSD) systems aim to detect characteristics of the neuromotor disorder from speech. Such systems are particularly susceptible to domain mismatch where t…
The HUAWEI Speaker Diarisation System for the VoxCeleb Speaker Diarisation Challenge
Renyu Wang, Ruilin Tong, Yu Ting Yeung +1
This paper describes system setup of our submission to speaker diarisation track (Track 4) of VoxCeleb Speaker Recognition Challenge 2020. Our diarisation system consists of a well…
Conv-Transformer Transducer: Low Latency, Low Frame Rate, Streamable End-to-End Speech Recognition
Wenyong Huang, Wenchao Hu, Yu Ting Yeung +1
Transformer has achieved competitive performance against state-of-the-art end-to-end models in automatic speech recognition (ASR), and requires significantly less training time tha…