**Official** 李宏毅 (Hung-yi Lee) 機器學習 Machine Learning 2022 Spring

Code and slides for the "Deep Learning (For Audio) With Python" course on TheSoundOfAI Youtube channel.

Code for the "PyTorch for Audio + Music Processing" series on The Sound of AI YouTube channel.

This repository consists of python code to train sound event localization and detection models.

Pytorch implementation of deep audio embedding calculation

Pre-trained models for bioacoustic classification tasks

PyTorch transcribed audioset classifier, including VGGish and YAMNet, along with utils to manipulate autioset category ontology.

Using the YAMNet model and libsndfile to process and analyze audio files, print the top ten probability results after prediction on the terminal.

Reading list for research topics in Sound AI

Step by step guide to create your venv with Tensorflow or Pytorch using CUDA

Models and examples built with TensorFlow

A collection of pre-trained, state-of-the-art models in the ONNX format

UrbanSound classification using Convolutional Recurrent Networks in PyTorch

Tensorflow code for training deep convolutional neural networks for music audio tagging

A collection of Audio and Speech pre-trained models.

Baseline method for audio-visual sound event localization and detection task of DCASE 2023 challenge

Solving the audio tagging challenge with probabilistic programming.

This is a repo for CS221 Audio Tagging Project.

This code aims at weakly-labeled semi-supervised sound event detection. The code embraces two methods we proposed to solve this task: specialized decision surface (SDS) and disentangled feature (DF…

Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to …

Noise15 , Noisex-92 and Nonspeech

Sound event localization, detection, and tracking of multiple overlapping and moving sources in 2D spherical space using convolutional recurrent neural network