There are 2 repositories under audio-tagging topic.
Code and Pretrained Models for Interspeech 2023 Paper "Whisper-AT: Noise-Robust Automatic Speech Recognizers are Also Strong Audio Event Taggers"
This repository aims at providing efficient CNNs for Audio Tagging. We provide AudioSet pre-trained models ready for downstream training and extraction of audio embeddings.
Freesound Audio Tagging 2019
Urban sound source tagging from an aggregation of four second noisy audio clips via 1D and 2D CNN (Xception)
Training code of Cornell Birdcall Identification Challenge 6th place solution
Python library for rapid prototyping of environmental sound analysis systems
Implementation and reviews of Audio & Computer vision related papers in python using keras and tensorflow.
6th place solution to Freesound Audio Tagging 2019 kaggle competition
Easy to use Audio Tagging in PyTorch
A php extension which wraps TagLib for tagging MP3, OGG, and FLAC audio files (php5 only...)
Google's AudioSet consistently reformatted
Scripts to process Google's Audioset
Emacs major mode for editing file tags (id3, etc)
Cloned from AlexeyAB/darknet, try to a spectrogram detector.
Kaggle Freesound Audio Tagging 2019 Challenge (top 5%)
A portable desktop app for tagging your audio files
Classify audio utterances in Luganda and English from Uganda.
A Python audio metadata handler.
An audio tag editor. For primary repo visit: https://gitlab.com/bmreading/metanote
A birdcall dataset with manual data tagging
Simple WinForms audio tagger.
Audio tagging is the process of inferring descriptive labels from audio clips (Multi label classification task). This repository contains exploratory code/scripts for audio preprocessing and model fitting for the task of audio tagging and its applications.
Real Time audio tagger using Whisper.ai Audio Tagging (AT)
My first C# project — an audio player built with .NET's WPF framework that provides several useful features, such as editing tag properties, playlists, bookmarks, and other individual song settings.