TEDSummary is a speech summary corpus. It includes TED talks subtitle (Document), Title-Detail (Summary), speaker name (Meta info), MP4 URL, and utterance id

Overview

TEDSummary

TEDSummary is a speech summary corpus. It includes TED talks subtitle (Document), Title-Detail (Summary), speaker name (Meta info), MP4 URL, and utterance id. This script crawls the TEDTalk website to get the above information. However, this script does not supply audio data. You can use the utterance id to align TED-LIUM3 (https://www.openslr.org/51/) or extract audio from the MP4 file.

References

[1] Takatomo Kano, Atsunori Ogawa, Marc Delcroix, and Shinji Watanabe "Attention-based Multi-hypothesis Fusion for Speech Summarization," Proc. ASRU, pp. –, 2021

Citation
@inproceedings{attention-fusion,
author = {Takatomo Kano and Atsunori Ogawa and Marc Delcroix and Shinji Watanabe},
title = {Attention-based Multi-hypothesis Fusion for Speech Summarization},
booktitle = {{ASRU 2021 - 2021 IEEE Automatic Speech Recoginition and Understanding Workshop (ASRU)}},
pages={-},
year = {2021}
}

Install tools

Python 3. requests unidecode json tqdm unicodedata

How to run

cd TEDSummary/ python TEDListCrawler.py

Outputs

telklist.json: URLs list for tedtalks.
ted_summary.json: Summarization dataset. That includes summary IDs, TEDTalk URL, mp4 URL, document, abstract, title, speaker name, and uttrance id for Tedlium alignment.

Atif Hassan 103 Dec 14, 2022
Self-Learned Video Rain Streak Removal: When Cyclic Consistency Meets Temporal Correspondence

In this paper, we address the problem of rain streaks removal in video by developing a self-learned rain streak removal method, which does not require any clean groundtruth images in the training pro

Yang Wenhan 44 Dec 06, 2022
A data annotation pipeline to generate high-quality, large-scale speech datasets with machine pre-labeling and fully manual auditing.

About This repository provides data and code for the paper: Scalable Data Annotation Pipeline for High-Quality Large Speech Datasets Development (subm

Appen Repos 86 Dec 07, 2022
unofficial pytorch implement of "Squareplus: A Softplus-Like Algebraic Rectifier"

SquarePlus (Pytorch implement) unofficial pytorch implement of "Squareplus: A Softplus-Like Algebraic Rectifier" SquarePlus Squareplus is a Softplus-L

SeeFun 3 Dec 29, 2021
Code for the paper "SmoothMix: Training Confidence-calibrated Smoothed Classifiers for Certified Robustness" (NeurIPS 2021)

SmoothMix: Training Confidence-calibrated Smoothed Classifiers for Certified Robustness (NeurIPS2021) This repository contains code for the paper "Smo

Jongheon Jeong 17 Dec 27, 2022
DWIPrep is a robust and easy-to-use pipeline for preprocessing of diverse dMRI data.

DWIPrep: A Robust Preprocessing Pipeline for dMRI Data DWIPrep is a robust and easy-to-use pipeline for preprocessing of diverse dMRI data. The transp

Gal Ben-Zvi 1 Jan 09, 2023
Source code and Dataset creation for the paper "Neural Symbolic Regression That Scales"

NeuralSymbolicRegressionThatScales Pytorch implementation and pretrained models for the paper "Neural Symbolic Regression That Scales", presented at I

35 Nov 25, 2022
A script depending on VASP output for calculating Fermi-Softness.

Fermi softness calculation for Vienna Ab initio Simulation Package (VASP) Update 1.1.0: Big update: Rewrote the code. Use Bader atomic division instea

qslin 11 Nov 08, 2022
Code & Models for 3DETR - an End-to-end transformer model for 3D object detection

3DETR: An End-to-End Transformer Model for 3D Object Detection PyTorch implementation and models for 3DETR. 3DETR (3D DEtection TRansformer) is a simp

Facebook Research 487 Dec 31, 2022
An efficient PyTorch implementation of the evaluation metrics in recommender systems.

recsys_metrics An efficient PyTorch implementation of the evaluation metrics in recommender systems. Overview • Installation • How to use • Benchmark

Xingdong Zuo 12 Dec 02, 2022
FIGARO: Generating Symbolic Music with Fine-Grained Artistic Control

FIGARO: Generating Symbolic Music with Fine-Grained Artistic Control by Dimitri von Rütte, Luca Biggio, Yannic Kilcher, Thomas Hofmann FIGARO: Generat

Dimitri 83 Jan 07, 2023
Deformable DETR is an efficient and fast-converging end-to-end object detector.

Deformable DETR: Deformable Transformers for End-to-End Object Detection.

2k Jan 05, 2023
Create UIs for prototyping your machine learning model in 3 minutes

Note: We just launched Hosted, where anyone can upload their interface for permanent hosting. Check it out! Welcome to Gradio Quickly create customiza

Gradio 11.7k Jan 07, 2023
Official PyTorch implementation of Synergies Between Affordance and Geometry: 6-DoF Grasp Detection via Implicit Representations

Synergies Between Affordance and Geometry: 6-DoF Grasp Detection via Implicit Representations Zhenyu Jiang, Yifeng Zhu, Maxwell Svetlik, Kuan Fang, Yu

UT-Austin Robot Perception and Learning Lab 63 Jan 03, 2023
Point cloud processing tool library.

Point Cloud ToolBox This point cloud processing tool library can be used to process point clouds, 3d meshes, and voxels. Environment python 3.7.5 Dep

ZhangXinyun 40 Dec 09, 2022
PyTorch code for our ECCV 2018 paper "Image Super-Resolution Using Very Deep Residual Channel Attention Networks"

PyTorch code for our ECCV 2018 paper "Image Super-Resolution Using Very Deep Residual Channel Attention Networks"

Yulun Zhang 1.2k Dec 26, 2022
Code for paper "Multi-level Disentanglement Graph Neural Network"

Multi-level Disentanglement Graph Neural Network (MD-GNN) This is a PyTorch implementation of the MD-GNN, and the code includes the following modules:

Lirong Wu 6 Dec 29, 2022
Code for the head detector (HeadHunter) proposed in our CVPR 2021 paper Tracking Pedestrian Heads in Dense Crowd.

Head Detector Code for the head detector (HeadHunter) proposed in our CVPR 2021 paper Tracking Pedestrian Heads in Dense Crowd. The head_detection mod

Ramana Sundararaman 76 Dec 06, 2022
Code for classifying international patents based on the text of their titles/abstracts

Patent Classification Goal: To train a machine learning classifier that can automatically classify international patents downloaded from the WIPO webs

Prashanth Rao 1 Nov 08, 2022