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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 ...
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05/27/2023
Translatotron 3: Speech to Speech Translation with Monolingual Data
This paper presents Translatotron 3, a novel approach to train a direct ...
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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 ...
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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...
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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...
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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...
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12/03/2021
CTIN: Robust Contextual Transformer Network for Inertial Navigation
Recently, data-driven inertial navigation approaches have demonstrated t...
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10/11/2021
Momentum Centering and Asynchronous Update for Adaptive Gradient Methods
We propose ACProp (Asynchronous-centering-Prop), an adaptive optimizer w...
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01/04/2021
Reddit Entity Linking Dataset
We introduce and make publicly available an entity linking dataset from ...
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10/15/2020
AdaBelief Optimizer: Adapting Stepsizes by the Belief in Observed Gradients
Most popular optimizers for deep learning can be broadly categorized as ...
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09/25/2020
HetSeq: Distributed GPU Training on Heterogeneous Infrastructure
Modern deep learning systems like PyTorch and Tensorflow are able to tra...
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02/13/2020
Self-supervised learning for audio-visual speaker diarization
Speaker diarization, which is to find the speech segments of specific sp...
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06/16/2019
Defending Against Adversarial Attacks Using Random Forests
As deep neural networks (DNNs) have become increasingly important and po...
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05/08/2019
Frame-Recurrent Video Inpainting by Robust Optical Flow Inference
In this paper, we present a new inpainting framework for recovering miss...
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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...
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02/08/2018
