AudioMNIST
Audio classifier
This project provides an implementation of a deep learning framework to classify audio signals and offers insights into the model's decision-making process using Explainable Artificial Intelligence (AI) techniques.
351 stars
6 watching
72 forks
Language: Python
last commit: over 2 years agoRelated projects:
| Repository | Description | Stars |
|---|---|---|
| An audio classification system using a convolutional neural network to classify audio data | 160 | |
| Identifies sounds in short audio clips using machine learning and PCA transformation | 154 | |
| A system for audio classification and detection using machine learning models | 4 | |
| Classify music genre from a 10-second sound stream using a neural network. | 565 | |
| Classifies music genres based on audio features using a deep learning model | 68 | |
| Reconstructs audio features learned by convolutional neural networks into audible sounds | 42 | |
| A large language model enabling speech, audio event perception and music inputs to achieve multilingual capabilities | 1,091 | |
| An unconditional end-to-end neural audio generation model utilizing a recurrent neural network architecture. | 537 | |
| A Python library for handling audio datasets, providing tools for accessing, manipulating, and preparing data for machine learning tasks. | 133 | |
| A Python audio signal processing library used in music information retrieval tasks. | 1,366 | |
| Automatically categorizes music genres using deep learning algorithms | 1,099 | |
| Library for audio data augmentation used in machine learning | 1,903 | |
| A repository containing code and pre-trained models for music classification using Convolutional Recurrent Neural Networks. | 12 | |
| A Python package implementing an interpretable machine learning model for text classification with visualization tools | 336 | |
| An audio processing toolbox with a graphical interface and built-in modules for sound effects and synthesis. | 228 |