Li-Rong Dai | DeepAI

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Featured Co-authors

Jie Zhang
196 publications
Yu Zhou
89 publications
Lin Liu
69 publications
Qian Chen
67 publications
Zhen-Hua Ling
64 publications
Shiliang Zhang
62 publications
Chen Liang
53 publications
Jun Du
51 publications
Hui Xue
43 publications
Yu Gu
40 publications
Yan Song
38 publications

∙ 05/21/2023

CASA-ASR: Context-Aware Speaker-Attributed ASR

Recently, speaker-attributed automatic speech recognition (SA-ASR) has a...

0 Mohan Shi, et al. ∙

∙ 05/21/2023

Semantic VAD: Low-Latency Voice Activity Detection for Speech Interaction

For speech interaction, voice activity detection (VAD) is often used as ...

0 Mohan Shi, et al. ∙

∙ 05/20/2023

Joint Generative-Contrastive Representation Learning for Anomalous Sound Detection

In this paper, we propose a joint generative and contrastive representat...

0 Xiao-Min Zeng, et al. ∙

∙ 03/07/2023

AST-SED: An Effective Sound Event Detection Method Based on Audio Spectrogram Transformer

In this paper, we propose an effective sound event detection (SED) metho...

0 Kang Li, et al. ∙

∙ 11/01/2022

A Comparative Study on multichannel Speaker-attributed automatic speech recognition in Multi-party Meetings

Speaker-attributed automatic speech recognition (SA-ASR) in multiparty m...

0 Mohan Shi, et al. ∙

∙ 10/27/2022

Robust Data2vec: Noise-robust Speech Representation Learning for ASR by Combining Regression and Improved Contrastive Learning

Self-supervised pre-training methods based on contrastive learning or re...

0 Qiu-Shi Zhu, et al. ∙

∙ 05/26/2022

Joint Training of Speech Enhancement and Self-supervised Model for Noise-robust ASR

Speech enhancement (SE) is usually required as a front end to improve th...

0 Qiu-Shi Zhu, et al. ∙

∙ 04/05/2022

A Complementary Joint Training Approach Using Unpaired Speech and Text for Low-Resource Automatic Speech Recognition

Unpaired data has shown to be beneficial for low-resource automatic spee...

0 Ye-Qian Du, et al. ∙

∙ 02/15/2022

Learning Contextually Fused Audio-visual Representations for Audio-visual Speech Recognition

With the advance in self-supervised learning for audio and visual modali...

0 Zi-Qiang Zhang, et al. ∙

∙ 01/22/2022

Supervised and Self-supervised Pretraining Based COVID-19 Detection Using Acoustic Breathing/Cough/Speech Signals

In this work, we propose a bi-directional long short-term memory (BiLSTM...

0 Xing-Yu Chen, et al. ∙

∙ 01/22/2022

A Noise-Robust Self-supervised Pre-training Model Based Speech Representation Learning for Automatic Speech Recognition

Wav2vec2.0 is a popular self-supervised pre-training framework for learn...

0 Qiu-Shi Zhu, et al. ∙

∙ 03/15/2021

XLST: Cross-lingual Self-training to Learn Multilingual Representation for Low Resource Speech Recognition

In this paper, we propose a weakly supervised multilingual representatio...

0 Zi-Qiang Zhang, et al. ∙

∙ 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. ∙

∙ 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. ∙

∙ 09/03/2020

Voice Conversion by Cascading Automatic Speech Recognition and Text-to-Speech Synthesis with Prosody Transfer

With the development of automatic speech recognition (ASR) and text-to-s...

0 Jing-Xuan Zhang, et al. ∙

∙ 08/05/2020

Recognition-Synthesis Based Non-Parallel Voice Conversion with Adversarial Learning

This paper presents an adversarial learning method for recognition-synth...

0 Jing-Xuan Zhang, et al. ∙

∙ 06/26/2019

End-to-End Emotional Speech Synthesis Using Style Tokens and Semi-Supervised Training

This paper proposes an end-to-end emotional speech synthesis (ESS) metho...

0 Peng-fei Wu, et al. ∙

∙ 06/25/2019

Non-Parallel Sequence-to-Sequence Voice Conversion with Disentangled Linguistic and Speaker Representations

In this paper, a method for non-parallel sequence-to-sequence (seq2seq) ...

0 Jing-Xuan Zhang, et al. ∙

∙ 06/21/2019

Singing Voice Synthesis Using Deep Autoregressive Neural Networks for Acoustic Modeling

This paper presents a method of using autoregressive neural networks for...

0 Yuan-Hao Yi, et al. ∙

∙ 11/20/2018

Improving Sequence-to-Sequence Acoustic Modeling by Adding Text-Supervision

This paper presents methods of making using of text supervision to impro...

0 Jing-Xuan Zhang, et al. ∙

∙ 10/16/2018

Sequence-to-Sequence Acoustic Modeling for Voice Conversion

In this paper, a neural network named Sequence-to- sequence ConvErsion N...

0 Jing-Xuan Zhang, et al. ∙

∙ 07/18/2018

Forward Attention in Sequence-to-sequence Acoustic Modelling for Speech Synthesis

This paper proposes a forward attention method for the sequenceto- seque...

0 Jing-Xuan Zhang, et al. ∙

∙ 01/24/2018

Waveform Modeling and Generation Using Hierarchical Recurrent Neural Networks for Speech Bandwidth Extension

This paper presents a waveform modeling and generation method using hier...

0 Zhen-Hua Ling, et al. ∙