b'Zhiyong Wu'

research

∙ 05/25/2022

ZeroGen^+: Self-Guided High-Quality Data Generation in Efficient Zero-Shot Learning

Nowadays, owing to the superior capacity of the large pre-trained langua...

Jiahui Gao, et al. ∙

research

∙ 04/06/2022

Towards Multi-Scale Speaking Style Modelling with Hierarchical Context Information for Mandarin Speech Synthesis

Previous works on expressive speech synthesis focus on modelling the mon...

Shun Lei, et al. ∙

research

∙ 03/31/2022

Neural Architecture Search for Speech Emotion Recognition

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

Xixin Wu, et al. ∙

research

∙ 03/31/2022

A Character-level Span-based Model for Mandarin Prosodic Structure Prediction

The accuracy of prosodic structure prediction is crucial to the naturaln...

Xueyuan Chen, et al. ∙

research

∙ 03/31/2022

NeuFA: Neural Network Based End-to-End Forced Alignment with Bidirectional Attention Mechanism

Although deep learning and end-to-end models have been widely used and s...

Jingbei Li, et al. ∙

research

∙ 03/24/2022

Disentangleing Content and Fine-grained Prosody Information via Hybrid ASR Bottleneck Features for Voice Conversion

Non-parallel data voice conversion (VC) have achieved considerable break...

Xintao Zhao, et al. ∙

research

∙ 03/23/2022

Towards Expressive Speaking Style Modelling with Hierarchical Context Information for Mandarin Speech Synthesis

Previous works on expressive speech synthesis mainly focus on current se...

Shun Lei, et al. ∙

research

∙ 03/23/2022

FullSubNet+: Channel Attention FullSubNet with Complex Spectrograms for Speech Enhancement

Previously proposed FullSubNet has achieved outstanding performance in D...

Jun Chen, et al. ∙

research

∙ 02/16/2022

ZeroGen: Efficient Zero-shot Learning via Dataset Generation

There is a growing interest in dataset generation recently due to the su...

Jiacheng Ye, et al. ∙

research

∙ 11/18/2021

Transformer-S2A: Robust and Efficient Speech-to-Animation

We propose a novel robust and efficient Speech-to-Animation (S2A) approa...

Liyang Chen, et al. ∙

research

∙ 10/14/2021

An Approach to Mispronunciation Detection and Diagnosis with Acoustic, Phonetic and Linguistic (APL) Embeddings

Many mispronunciation detection and diagnosis (MD D) research approach...

Wenxuan Ye, et al. ∙

research

∙ 09/03/2021

Learning from Multiple Noisy Augmented Data Sets for Better Cross-Lingual Spoken Language Understanding

Lack of training data presents a grand challenge to scaling out spoken l...

Yingmei Guo, et al. ∙

research

∙ 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...

Hui Lu, et al. ∙

research

∙ 06/15/2021

Voting for the right answer: Adversarial defense for speaker verification

Automatic speaker verification (ASV) is a well developed technology for ...

Haibin Wu, et al. ∙

research

∙ 06/11/2021

Spoken Style Learning with Multi-modal Hierarchical Context Encoding for Conversational Text-to-Speech Synthesis

For conversational text-to-speech (TTS) systems, it is vital that the sy...

Jingbei Li, et al. ∙

research

∙ 06/01/2021

Improving the Adversarial Robustness for Speaker Verification by Self-Supervised Learning

Previous works have shown that automatic speaker verification (ASV) is s...

Haibin Wu, et al. ∙

research

∙ 05/31/2021

Cascaded Head-colliding Attention

Transformers have advanced the field of natural language processing (NLP...

Lin Zheng, et al. ∙

research

∙ 05/11/2021

PTeacher: a Computer-Aided Personalized Pronunciation Training System with Exaggerated Audio-Visual Corrective Feedback

Second language (L2) English learners often find it difficult to improve...

Yaohua Bu, et al. ∙

research

∙ 04/14/2021

Dependency Parsing based Semantic Representation Learning with Graph Neural Network for Enhancing Expressiveness of Text-to-Speech

Semantic information of a sentence is crucial for improving the expressi...

Yixuan Zhou, et al. ∙

research

∙ 03/01/2021

Industry Practice of Coverage-Guided Enterprise-Level DBMS Fuzzing

As an infrastructure for data persistence and analysis, Database Managem...

Mingzhe Wang, et al. ∙

research

∙ 02/14/2021

Adversarial defense for automatic speaker verification by cascaded self-supervised learning models

Automatic speaker verification (ASV) is one of the core technologies in ...

Haibin Wu, et al. ∙

research

∙ 01/30/2021

Adversarially learning disentangled speech representations for robust multi-factor voice conversion

Factorizing speech as disentangled speech representations is vital to ac...

Jie Wang, et al. ∙

research

∙ 12/21/2020

Unsupervised Cross-Lingual Speech Emotion Recognition Using DomainAdversarial Neural Network

By using deep learning approaches, Speech Emotion Recog-nition (SER) on ...

Xiong Cai, et al. ∙

research

∙ 12/13/2020

Syntactic representation learning for neural network based TTS with syntactic parse tree traversal

Syntactic structure of a sentence text is correlated with the prosodic s...

Changhe Song, et al. ∙

research

∙ 10/28/2020

Non-Autoregressive Transformer ASR with CTC-Enhanced Decoder Input

Non-autoregressive (NAR) transformer models have achieved significantly ...

Xingchen Song, et al. ∙

research

∙ 10/26/2020

Improving pronunciation assessment via ordinal regression with anchored reference samples

Sentence level pronunciation assessment is important for Computer Assist...

Bin Su, et al. ∙

research

∙ 06/20/2020

Speaker Independent and Multilingual/Mixlingual Speech-Driven Talking Head Generation Using Phonetic Posteriorgrams

Generating 3D speech-driven talking head has received more and more atte...

Huirong Huang, et al. ∙

research

∙ 05/26/2020

Noise Robust TTS for Low Resource Speakers using Pre-trained Model and Speech Enhancement

With the popularity of deep neural network, speech synthesis task has ac...

Dongyang Dai, et al. ∙

research

∙ 10/23/2019

Speech-XLNet: Unsupervised Acoustic Model Pretraining For Self-Attention Networks

Self-attention network (SAN) can benefit significantly from the bi-direc...

Xingchen Song, et al. ∙

research

∙ 11/17/2016

Study on Feature Subspace of Archetypal Emotions for Speech Emotion Recognition

Feature subspace selection is an important part in speech emotion recogn...

Xi Ma, et al. ∙

Zhiyong Wu

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