 |
VOOZH | about |
🔊 A comprehensive list of open-source datasets for voice and sound computing (95+ datasets).
🗣️ A book and repo to get you started programming voice computing applications in Python (10 chapters and 200+ scripts).
🤖 An automated machine learning framework for audio, text, image, video, or .CSV files (50+ featurizers and 15+ model trainers). Python 3.6 required.
📁 This repo makes it easy to download the raw audio files from AudioSet (32.45 GB, 632 classes).
♂️♀️ Detect a person's gender from a voice file (90.7% +/- 1.3% accuracy).
🎵 A repository for manually annotating files to create labeled acoustic datasets for machine learning.
🦁 Nala is an agile open-source voice assistant framework (20+ actions).
🎤 quick library to extract pause lengths from audio files.
📊 Easily apply audio-related machine learning models trained on the AudioSet dataset (527+ models/classes).
Landing page for MooersLab repository
Eases transcribing audio files in Emacs directly from DVR plugged into computer.
Generate Voice In commands for a new writing project
Starter repository for learning how to make machine learning models with voice data.
voice-triggered snippets for use in Jupyter notebooks with Voice In Plus
Voice triggered code snippets of basic Python3 data structures for use with Voice In Plus
Slides to talk at PyTexas 2024
Automated Expansions of English Contractions For Serenade
Voice-triggered code snippets from the stats models Python module for use in Voice In Plus
Voice triggered coat Snippets for use with the numpy library in Voice In plus
Library of voice-triggered code snippets for matplotlib using Voice-In Plus
Add a description, image, and links to the voice-computing topic page so that developers can more easily learn about it.
To associate your repository with the voice-computing topic, visit your repo's landing page and select "manage topics."