A Unified Semi-Supervised Learning Codebase (NeurIPS'22)

Code for the Interspeech 2021 paper "AST: Audio Spectrogram Transformer".

Code for YouTube series: Deep Learning for Audio Classification

Urban sound classification using Deep Learning

Analyze the unstructured data with Towhee, such as reverse image search, reverse video search, audio classification, question and answer systems, molecular search, etc.

Data labeling react app that is backend agnostic and can be embedded into your applications — distributed as an NPM package

UrbanSound classification using Convolutional Recurrent Networks in PyTorch

The official code repo of "HTS-AT: A Hierarchical Token-Semantic Audio Transformer for Sound Classification and Detection"

Code for the AAAI 2022 paper "SSAST: Self-Supervised Audio Spectrogram Transformer".

🚤 Label data at scale. Fun and precision included.

Code and Pretrained Models for Interspeech 2023 Paper "Whisper-AT: Noise-Robust Automatic Speech Recognizers are Also Strong Audio Event Taggers"

Efficient Training of Audio Transformers with Patchout

A multi-channel neural network audio classifier using Keras

Identify sounds in short audio clips

Code for the TASLP paper "PSLA: Improving Audio Tagging With Pretraining, Sampling, Labeling, and Aggregation".

🎶 dead simple audio classification

Audio classification with VGGish as feature extractor in TensorFlow

Dataset and baseline code for the VocalSound dataset (ICASSP2022).

[IJCAI 2024] EAT: Self-Supervised Pre-Training with Efficient Audio Transformer

8th place solution (on Kaggle) to the Freesound General-Purpose Audio Tagging Challenge (DCASE 2018 - Task 2)