koffair Goto Github PK

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audiopreprocessing

Experimenting with audio preprocessing

civil-stt-controller

colab_pipelines

cookiecutter-modern-datascience

Start a data science project with modern tools

gramformer

A framework for detecting, highlighting and correcting grammatical errors on natural language text. Created by Prithiviraj Damodaran. Open to pull requests and other forms of collaboration.

huggingsound

HuggingSound: A toolkit for speech-related tasks based on Hugging Face's tools

inaspeechsegmenter

CNN-based audio segmentation toolkit. Allows to detect speech, music and speaker gender. Has been designed for large scale gender equality studies based on speech time per gender.

kenlm

KenLM: Faster and Smaller Language Model Queries

kenlm-training

Training an n-gram based Language Model using KenLM toolkit for Deep Speech 2

keywordextractor

koffair-www

koffair.github.io

koffairextractor

key phrase extraction, summarization and corpus statistics

python-stt-controller

radioship_segmenter

Segment audiofiles, remove noise and music.

radioship_transcriber

CLI for the radioship_transcriber: create .txt transcripts for .mp3 files using neural networks

stopwordfiltering

Filtering stopwords

swear-words

💩 Profanity means swear words. The adjective is 'profane'. Profanities can also be called curse ("cuss") words, dirty words, bad words, foul language, obscenity, obscene language, or expletives. It can be called swearing, although this also has a normal meaning of making a "solemn promise".

voice-scheduler

wav2vec2-sprint

wordninja

Probabilistically split concatenated words using NLP based on English Wikipedia unigram frequencies.