Ilaria Manco

multimodal-ml-music. List of academic resources on Multimodal ML for Music

muscall. Official implementation of "Contrastive Audio-Language Learning for Music" (ISMIR 2022)

word2wave. Word2Wave: a framework for generating short audio samples from a text prompt using WaveGAN and COALA.

muscaps. Source code for "MusCaps: Generating Captions for Music Audio" (IJCNN 2021)

song-describer. Song Describer is a data collection platform for annotating music with textual descriptions.

mulap. Official implementation of "Learning Music Audio Representations Via Weak Language Supervision" (ICASSP 2022)

music-audio-tagging-pytorch. A PyTorch implementation of the musicnn model for music audio tagging

bela-sampler. MIDI controlled sampler/sequencer on the Bela platform

mir-datasets. Simple collection of MIR datasets with metadata and links

hidden-markov-models. Jupyter Notebook

torch-pitch-shift. Pitch-shift audio clips quickly with PyTorch (CUDA supported)! Additional utilities for searching efficient transformations are included.

astro-image-processing. Code for the implementation of a cluster detection algorithm to analyse an optical image and study the distribution of galaxies within it

oslo-model. Implementation, analysis and visualisation of the Oslo rice pile Model