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Yu Zhang
406 publications
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109 publications
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59 publications
Jinfeng Yi
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∙ 05/30/2023

LibriTTS-R: A Restored Multi-Speaker Text-to-Speech Corpus

This paper introduces a new speech dataset called “LibriTTS-R” designed ...

0 Yuma Koizumi, et al. ∙

∙ 05/27/2023

Translatotron 3: Speech to Speech Translation with Monolingual Data

This paper presents Translatotron 3, a novel approach to train a direct ...

0 Eliya Nachmani, et al. ∙

∙ 03/03/2023

Miipher: A Robust Speech Restoration Model Integrating Self-Supervised Speech and Text Representations

Speech restoration (SR) is a task of converting degraded speech signals ...

0 Yuma Koizumi, et al. ∙

∙ 10/28/2022

Residual Adapters for Few-Shot Text-to-Speech Speaker Adaptation

Adapting a neural text-to-speech (TTS) model to a target speaker typical...

0 Nobuyuki Morioka, et al. ∙

∙ 06/02/2022

H-EMD: A Hierarchical Earth Mover's Distance Method for Instance Segmentation

Deep learning (DL) based semantic segmentation methods have achieved exc...

12 Peixian Liang, et al. ∙

∙ 03/24/2022

Leveraging unsupervised and weakly-supervised data to improve direct speech-to-speech translation

End-to-end speech-to-speech translation (S2ST) without relying on interm...

12 Ye Jia, et al. ∙

∙ 12/03/2021

CTIN: Robust Contextual Transformer Network for Inertial Navigation

Recently, data-driven inertial navigation approaches have demonstrated t...

0 Bingbing Rao, et al. ∙

∙ 10/11/2021

Momentum Centering and Asynchronous Update for Adaptive Gradient Methods

We propose ACProp (Asynchronous-centering-Prop), an adaptive optimizer w...

0 Juntang Zhuang, et al. ∙

∙ 01/04/2021

Reddit Entity Linking Dataset

We introduce and make publicly available an entity linking dataset from ...

0 Nicholas Botzer, et al. ∙

∙ 10/15/2020

AdaBelief Optimizer: Adapting Stepsizes by the Belief in Observed Gradients

Most popular optimizers for deep learning can be broadly categorized as ...

48 Juntang Zhuang, et al. ∙

∙ 09/25/2020

HetSeq: Distributed GPU Training on Heterogeneous Infrastructure

Modern deep learning systems like PyTorch and Tensorflow are able to tra...

0 Yifan Ding, et al. ∙

∙ 02/13/2020

Self-supervised learning for audio-visual speaker diarization

Speaker diarization, which is to find the speech segments of specific sp...

10 Yifan Ding, et al. ∙

∙ 06/16/2019

Defending Against Adversarial Attacks Using Random Forests

As deep neural networks (DNNs) have become increasingly important and po...

1 Yifan Ding, et al. ∙

∙ 05/08/2019

Frame-Recurrent Video Inpainting by Robust Optical Flow Inference

In this paper, we present a new inpainting framework for recovering miss...

0 Yifan Ding, et al. ∙

∙ 04/29/2019

Learning Raw Image Denoising with Bayer Pattern Unification and Bayer Preserving Augmentation

In this paper, we present new data pre-processing and augmentation techn...

0 Jiaming Liu, et al. ∙

∙ 02/08/2018

A Semi-Supervised Two-Stage Approach to Learning from Noisy Labels

The recent success of deep neural networks is powered in part by large-s...

0 Yifan Ding, et al. ∙

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