Stars
A fast implementation of bss_eval metrics for blind source separation
Fine-tune Stable Audio Open with DiT ControlNet.
MiRA (Music Replication Assessment) tool is a model-independent open evaluation method based on four diverse audio music similarity metrics to assess exact data replication of the training set.
Generative models for conditional audio generation
Metrics for evaluating music and audio generative models – with a focus on long-form, full-band, and stereo generations.
Examples for ICASSP2024 paper "StemGen: A music generation model that listens"
a MUSHRA compliant web audio API based experiment software
Pronounced as "musician", musicnn is a set of pre-trained deep convolutional neural networks for music audio tagging.
Implementation of SoundStorm, Efficient Parallel Audio Generation from Google Deepmind, in Pytorch
Riemannian Adaptive Optimization Methods with pytorch optim
Continuous Augmented Positional Embeddings (CAPE) implementation for PyTorch
Collection of audio-focused loss functions in PyTorch
Fast PyTorch based DSP for audio and 1D signals
A curated list of awesome audio technology resources for developers
A deep-learning-based method for sound field reconstruction
Python audio and music signal processing library
COALA: Co-Aligned Autoencoders for Learning Semantically Enriched Audio Representations
A PyTorch implementation of the musicnn model for music audio tagging
Keras implementation of musicnn, a set of pre-trained deep convolutional neural networks for music audio tagging
Improved Wave-U-Net implemented in Pytorch
Perceptual Metrics of Audio - perceptually relevant loss function. DPAM and CDPAM
davrandom / idhoa
Forked from BarcelonaMedia-Audio/idhoaSoftware for Decoding of High Order Ambisonics to Irregular Layouts