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

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

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

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

UrbanSound classification using Convolutional Recurrent Networks in PyTorch

Efficient Training of Audio Transformers with Patchout

🚤 Label data at scale. Fun and precision included.

A multi-channel neural network audio classifier using Keras

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

Official Implementation of the work "Audio Mamba: Bidirectional State Space Model for Audio Representation Learning"

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

A library built for easier audio self-supervised training, downstream tasks evaluation

Audio classification with VGGish as feature extractor in TensorFlow

[SLT'24] The official implementation of SSAMBA: Self-Supervised Audio Representation Learning with Mamba State Space Model

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

DCASE2020 Challenge Task 2 baseline system

基于PaddlePaddle实现的音频分类，支持EcapaTdnn、PANNS、TDNN、Res2Net、ResNetSE等各种模型，还有多种预处理方法

Classification of Urban Sound Audio Dataset using LSTM-based model.