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
A Fast Sequence Transducer Implementation with PyTorch Bindings

transducer A Fast Sequence Transducer Implementation with PyTorch Bindings. The corresponding publication is Sequence Transduction with Recurrent Neur

Awni Hannun 184 Dec 18, 2022
Text Normalization(文本正则化)

Text Normalization(文本正则化) 任务描述:通过机器学习算法将英文文本的“手写”形式转换成“口语“形式,例如“6ft”转换成“six feet”等 实验结果 XGBoost + bag-of-words: 0.99159 XGBoost+Weights+rules:0.99002

Jason_Zhang 0 Feb 26, 2022
A library that integrates huggingface transformers with the world of fastai, giving fastai devs everything they need to train, evaluate, and deploy transformer specific models.

blurr A library that integrates huggingface transformers with version 2 of the fastai framework Install You can now pip install blurr via pip install

ohmeow 253 Dec 31, 2022
Summarization, translation, sentiment-analysis, text-generation and more at blazing speed using a T5 version implemented in ONNX.

Summarization, translation, Q&A, text generation and more at blazing speed using a T5 version implemented in ONNX. This package is still in alpha stag

Abel 211 Dec 28, 2022
Nmt - TensorFlow Neural Machine Translation Tutorial

Neural Machine Translation (seq2seq) Tutorial Authors: Thang Luong, Eugene Brevdo, Rui Zhao (Google Research Blogpost, Github) This version of the tut

6.1k Dec 29, 2022
This Project is based on NLTK It generates a RANDOM WORD from a predefined list of words, From that random word it read out the word, its meaning with parts of speech , its antonyms, its synonyms

This Project is based on NLTK(Natural Language Toolkit) It generates a RANDOM WORD from a predefined list of words, From that random word it read out the word, its meaning with parts of speech , its

SaiVenkatDhulipudi 2 Nov 17, 2021
pyupbit 라이브러리를 활용하여 upbit에서 비트코인을 자동매매하는 코드입니다. 조코딩 유튜브 채널에서 자세한 강의 영상을 보실 수 있습니다.

파이썬 비트코인 투자 자동화 강의 코드 by 유튜브 조코딩 채널 pyupbit 라이브러리를 활용하여 upbit 거래소에서 비트코인 자동매매를 하는 코드입니다. 파일 구성 test.py : 잔고 조회 (1강) backtest.py : 백테스팅 코드 (2강) bestK.p

조코딩 JoCoding 186 Dec 29, 2022
NLP, before and after spaCy

textacy: NLP, before and after spaCy textacy is a Python library for performing a variety of natural language processing (NLP) tasks, built on the hig

Chartbeat Labs Projects 2k Jan 04, 2023
Some embedding layer implementation using ivy library

ivy-manual-embeddings Some embedding layer implementation using ivy library. Just for fun. It is based on NYCTaxiFare dataset from kaggle (cut down to

Ishtiaq Hussain 2 Feb 10, 2022
Rhasspy 673 Dec 28, 2022
Develop open-source Python Arabic NLP libraries that the Arab world will easily use in all Natural Language Processing applications

Develop open-source Python Arabic NLP libraries that the Arab world will easily use in all Natural Language Processing applications

BADER ALABDAN 2 Oct 22, 2022
A framework for cleaning Chinese dialog data

A framework for cleaning Chinese dialog data

Yida 136 Dec 20, 2022
A multi-lingual approach to AllenNLP CoReference Resolution along with a wrapper for spaCy.

Crosslingual Coreference Coreference is amazing but the data required for training a model is very scarce. In our case, the available training for non

Pandora Intelligence 71 Jan 04, 2023
Word Bot for JKLM Bomb Party

Word Bot for JKLM Bomb Party A bot for Bomb Party on https://www.jklm.fun (Only English) Requirements pynput pyperclip pyautogui Usage: Step 1: Run th

Nicolas 7 Oct 30, 2022
Package for controllable summarization

summarizers summarizers is package for controllable summarization based CTRLsum. currently, we only supports English. It doesn't work in other languag

Hyunwoong Ko 72 Dec 07, 2022
Mednlp - Medical natural language parsing and utility library

Medical natural language parsing and utility library A natural language medical

Paul Landes 3 Aug 24, 2022
Azure Text-to-speech service for Home Assistant

Azure Text-to-speech service for Home Assistant The Azure text-to-speech platform uses online Azure Text-to-Speech cognitive service to read a text wi

Yassine Selmi 2 Aug 06, 2022
Recognition of 38 speech commands in russian. Based on Yandex Cup 2021 ML Challenge: ASR

Speech_38_ru_commands Recognition of 38 speech commands in russian. Based on Yandex Cup 2021 ML Challenge: ASR Программа умеет распознавать 38 ключевы

Andrey 9 May 05, 2022
Speech Recognition Database Management with python

Speech Recognition Database Management The main aim of this project is to recogn

Abhishek Kumar Jha 2 Feb 02, 2022
RoNER is a Named Entity Recognition model based on a pre-trained BERT transformer model trained on RONECv2

RoNER RoNER is a Named Entity Recognition model based on a pre-trained BERT transformer model trained on RONECv2. It is meant to be an easy to use, hi

Stefan Dumitrescu 9 Nov 07, 2022