🔊 A comprehensive list of open-source datasets for voice and sound computing (95+ datasets).
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Updated
Jun 6, 2024
🔊 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
Generate Voice In commands for a new writing project
Starter repository for learning how to make machine learning models with voice data.
Voice triggered code snippets of basic Python3 data structures for use with Voice In Plus
Automated Expansions of English Contractions For Serenade
Slides to talk at PyTexas 2024
voice-triggered snippets for use in Jupyter notebooks with Voice In Plus
The Voice triggered Snippets of cmdstan code for use with Voice In Plus
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
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