A CSRankings-like index for speech researchers

Overview

Speech Rankings

This project mimics CSRankings to generate an ordered list of researchers in speech/spoken language processing along with their possible research topics, based on recent publications on important venues of the field, so as to help students seeking for PhD studies to find desirable advisors.

How to use

The pre-generated report is available at here. To build it by yourself,

  1. Run prepare_data.py to build publications.json and authors.json, or simply use the data provided, covering those from 2011 to 2021.
  2. Run export.py to generate the report.

How does it work

We scrape author metadata and publication data of the following three types of venues from DBLP, including:

  • Speech venues: Interspeech, Speech Communications, SLT, SSW, ASRU, IWSLT
  • Mixed venues: ICASSP, TASLP
  • General venues: NeurIPS, ICML, ICLR, ACL, EMNLP, NAACL, KDD, AAAI, IJCAI

All publications in Speech venues are included. Paricularly for Interspeech, section/field of each paper are collected from ISCA Archive to show possible research topics of each researcher. So are the keywords from IEEE Xplore for papers published on IEEE-held venues. Keywords (as well as titles) are also used to filter out non-speech papers in Mixed venues by a set of rules. Titles are used to identify speech papers in General venues. Researchers are sorted by the total number of publications.

The collected data contain errors, and the project is neither intended to index speech-related papers nor to compare researchers in the field.

Owner
Mutian He
Mutian He
End-to-end image captioning with EfficientNet-b3 + LSTM with Attention

Image captioning End-to-end image captioning with EfficientNet-b3 + LSTM with Attention Model is seq2seq model. In the encoder pretrained EfficientNet

2 Feb 10, 2022
PRAnCER is a web platform that enables the rapid annotation of medical terms within clinical notes.

PRAnCER (Platform enabling Rapid Annotation for Clinical Entity Recognition) is a web platform that enables the rapid annotation of medical terms within clinical notes. A user can highlight spans of

Sontag Lab 39 Nov 14, 2022
내부 작업용 django + vue(vuetify) boilerplate. 짠 하면 돌아감.

Pocket Galaxy 아주 간단한 개인용, 혹은 내부용 툴을 만들어야하는데 이왕이면 웹이 편하죠? 그럴때를 위해 만들어둔 django와 vue(vuetify)로 이뤄진 boilerplate 입니다. 각 폴더에 있는 설명서대로 실행을 시키면 일단 당장 뭔가가 돌아갑니

Jamie J. Seol 16 Dec 03, 2021
HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesis

HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesis Jungil Kong, Jaehyeon Kim, Jaekyoung Bae In our paper, we p

Jungil Kong 1.1k Jan 02, 2023
LCG T-TEST USING EUCLIDEAN METHOD

This project has been created for statistical usage, purposing for determining ATL takers and nontakers using LCG ttest and Euclidean Method, especially for internal business case in Telkomsel.

2 Jan 21, 2022
Index different CKAN entities in Solr, not just datasets

ckanext-sitesearch Index different CKAN entities in Solr, not just datasets Requirements This extension requires CKAN 2.9 or higher and Python 3 Featu

Open Knowledge Foundation 3 Dec 02, 2022
Official implementations for various pre-training models of ERNIE-family, covering topics of Language Understanding & Generation, Multimodal Understanding & Generation, and beyond.

English|简体中文 ERNIE是百度开创性提出的基于知识增强的持续学习语义理解框架,该框架将大数据预训练与多源丰富知识相结合,通过持续学习技术,不断吸收海量文本数据中词汇、结构、语义等方面的知识,实现模型效果不断进化。ERNIE在累积 40 余个典型 NLP 任务取得 SOTA 效果,并在 G

5.4k Jan 03, 2023
A programming language with logic of Python, and syntax of all languages.

Pytov The idea was to take all well known syntaxes, and combine them into one programming language with many posabilities. Installation Install using

Yuval Rosen 14 Dec 07, 2022
Awesome-NLP-Research (ANLP)

Awesome-NLP-Research (ANLP)

Language, Information, and Learning at Yale 72 Dec 19, 2022
📔️ Generate a text-based journal from a template file.

JGen 📔️ Generate a text-based journal from a template file. Contents Getting Started Example Overview Usage Details Reserved Keywords Gotchas Getting

Harrison Broadbent 21 Sep 25, 2022
Segmenter - Transformer for Semantic Segmentation

Segmenter - Transformer for Semantic Segmentation

592 Dec 27, 2022
Spert NLP Relation Extraction API deployed with torchserve for inference

URLMask Python program for Linux users to change a URL to ANY domain. A program than can take any url and mask it to any domain name you like. E.g. ne

Zichu Chen 1 Nov 24, 2021
Use AutoModelForSeq2SeqLM in Huggingface Transformers to train COMET

Training COMET using seq2seq setting Use AutoModelForSeq2SeqLM in Huggingface Transformers to train COMET. The codes are modified from run_summarizati

tqfang 9 Dec 17, 2022
This project aims to conduct a text information retrieval and text mining on medical research publication regarding Covid19 - treatments and vaccinations.

Project: Text Analysis - This project aims to conduct a text information retrieval and text mining on medical research publication regarding Covid19 -

1 Mar 14, 2022
Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines of code.

textgenrnn Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines of code, or quickly tr

Max Woolf 4.8k Dec 30, 2022
天池中药说明书实体识别挑战冠军方案;中文命名实体识别;NER; BERT-CRF & BERT-SPAN & BERT-MRC;Pytorch

天池中药说明书实体识别挑战冠军方案;中文命名实体识别;NER; BERT-CRF & BERT-SPAN & BERT-MRC;Pytorch

zxx飞翔的鱼 751 Dec 30, 2022
profile tools for pytorch nn models

nnprof Introduction nnprof is a profile tool for pytorch neural networks. Features multi profile mode: nnprof support 4 profile mode: Layer level, Ope

Feng Wang 42 Jul 09, 2022
AIDynamicTextReader - A simple dynamic text reader based on Artificial intelligence

AI Dynamic Text Reader: This is a simple dynamic text reader based on Artificial

Md. Rakibul Islam 1 Jan 18, 2022
[EMNLP 2021] Mirror-BERT: Converting Pretrained Language Models to universal text encoders without labels.

[EMNLP 2021] Mirror-BERT: Converting Pretrained Language Models to universal text encoders without labels.

Cambridge Language Technology Lab 61 Dec 10, 2022