sampleRNN_ICLR2017
Audio generator
An unconditional end-to-end neural audio generation model utilizing a recurrent neural network architecture.
SampleRNN: An Unconditional End-to-End Neural Audio Generation Model
537 stars
27 watching
140 forks
Language: Python
last commit: over 3 years ago Related projects:
Repository | Description | Stars |
---|---|---|
| An implementation of an audio generation model using PyTorch | 290 |
| An open-source machine learning algorithm for generating raw audio waveforms from raw data | 1,334 |
| A tool to generate audio samples based on input commands and lo-fi instrumental music tracks. | 22 |
| An implementation of a neural network for generating sound from video sequences | 52 |
| A music generation tool that uses chord embeddings and neural networks to create polyphonic music with harmonic structure | 64 |
| Generates polyphonic music from scratch or based on user input using a neural network architecture | 1,863 |
| 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 |
| Generates polyphonic music sequences using deep learning models and adversarial training | 28 |
| A C++ library for generating and processing audio signals in real-time. | 468 |
| A large language model enabling speech, audio event perception and music inputs to achieve multilingual capabilities | 1,091 |
| An audio generation library that uses diffusion models to produce high-quality audio samples from noise or text input | 1,975 |
| Reconstructs audio features learned by convolutional neural networks into audible sounds | 42 |
| Generates music samples using a neural network-based algorithm | 666 |
| A Python-based project for composing music using neural networks. | 126 |
| An implementation of WaveNet for generating audio using PyTorch | 979 |