Chengyi Wang | DeepAI

DeepAI AI Chat

Featured Co-authors

Furu Wei
184 publications
Rui Zhao
119 publications
Ming Zhou
107 publications
Jian Wu
103 publications
Zhuo Chen
102 publications
Jinyu Li
100 publications
Yu Wu
98 publications
Lei He
63 publications
Shujie Liu
59 publications
Takuya Yoshioka
53 publications
Yanmin Qian
52 publications

∙ 06/27/2023

Evaluation and Optimization of Rendering Techniques for Autonomous Driving Simulation

In order to meet the demand for higher scene rendering quality from some...

0 Chengyi Wang, et al. ∙

∙ 01/05/2023

Neural Codec Language Models are Zero-Shot Text to Speech Synthesizers

We introduce a language modeling approach for text to speech synthesis (...

4 Chengyi Wang, et al. ∙

∙ 12/18/2022

BEATs: Audio Pre-Training with Acoustic Tokenizers

The massive growth of self-supervised learning (SSL) has been witnessed ...

0 Sanyuan Chen, et al. ∙

∙ 04/27/2022

Why does Self-Supervised Learning for Speech Recognition Benefit Speaker Recognition?

Recently, self-supervised learning (SSL) has demonstrated strong perform...

0 Sanyuan Chen, et al. ∙

∙ 12/16/2021

Self-Supervised Learning for speech recognition with Intermediate layer supervision

Recently, pioneer work finds that speech pre-trained models can solve fu...

0 Chengyi Wang, et al. ∙

∙ 10/26/2021

WavLM: Large-Scale Self-Supervised Pre-Training for Full Stack Speech Processing

Self-supervised learning (SSL) achieves great success in speech recognit...

0 Sanyuan Chen, et al. ∙

∙ 10/12/2021

Large-scale Self-Supervised Speech Representation Learning for Automatic Speaker Verification

The speech representations learned from large-scale unlabeled data have ...

0 Zhengyang Chen, et al. ∙

∙ 10/12/2021

UniSpeech-SAT: Universal Speech Representation Learning with Speaker Aware Pre-Training

Self-supervised learning (SSL) is a long-standing goal for speech proces...

0 Sanyuan Chen, et al. ∙

∙ 01/19/2021

UniSpeech: Unified Speech Representation Learning with Labeled and Unlabeled Data

In this paper, we propose a unified pre-training approach called UniSpee...

21 Chengyi Wang, et al. ∙

∙ 08/13/2020

Continuous Speech Separation with Conformer

Continuous speech separation plays a vital role in complicated speech re...

0 Sanyuan Chen, et al. ∙

∙ 05/28/2020

On the Comparison of Popular End-to-End Models for Large Scale Speech Recognition

Recently, there has been a strong push to transition from hybrid models ...

0 Jinyu Li, et al. ∙

∙ 04/21/2020

Curriculum Pre-training for End-to-End Speech Translation

End-to-end speech translation poses a heavy burden on the encoder, becau...

0 Chengyi Wang, et al. ∙

∙ 12/06/2019

Semantic Mask for Transformer based End-to-End Speech Recognition

Attention-based encoder-decoder model has achieved impressive results fo...

0 Chengyi Wang, et al. ∙

∙ 09/17/2019

Bridging the Gap between Pre-Training and Fine-Tuning for End-to-End Speech Translation

End-to-end speech translation, a hot topic in recent years, aims to tran...

0 Chengyi Wang, et al. ∙

∙ 09/05/2019

Accelerating Transformer Decoding via a Hybrid of Self-attention and Recurrent Neural Network

Due to the highly parallelizable architecture, Transformer is faster to ...

0 Chengyi Wang, et al. ∙

∙ 09/05/2019

Source Dependency-Aware Transformer with Supervised Self-Attention

Recently, Transformer has achieved the state-of-the-art performance on m...

0 Chengyi Wang, et al. ∙

Are you a researcher?
Expose your work
to one of the largest
A.I. communities in the world