tpt-adasp
ADASP (Audio Data Analysis and Signal Processing) is a Télécom Paris research group that develops data analysis methods primarily targeting audio data.
Paris area, France
Pinned Repositories
disco
Distributed semi-constrained microphone arrays
groove2groove-web
https://groove2groove.telecom-paris.fr
html-midi-player
🎹 Play and display MIDI files on the web
pesto
Self-supervised learning for fast pitch estimation
pesto-full
Full models and training code for PESTO
PyMP
A Pythonic Implementation of Greedy Algorithms developped during my PhD
randomization-test
Code for running an adaptation of the computationally-intensive randomization test
salt
SALT: STANDARDIZED AUDIO EVENT LABEL TAXONOMY
speeding_inferences
ss-vq-vae
Self-supervised VQ-VAE for One-Shot Music Style Transfer
tpt-adasp's Repositories
tpt-adasp/disco
Distributed semi-constrained microphone arrays
tpt-adasp/groove2groove-web
https://groove2groove.telecom-paris.fr
tpt-adasp/html-midi-player
🎹 Play and display MIDI files on the web
tpt-adasp/pesto
Self-supervised learning for fast pitch estimation
tpt-adasp/pesto-full
Full models and training code for PESTO
tpt-adasp/PyMP
A Pythonic Implementation of Greedy Algorithms developped during my PhD
tpt-adasp/randomization-test
Code for running an adaptation of the computationally-intensive randomization test
tpt-adasp/salt
SALT: STANDARDIZED AUDIO EVENT LABEL TAXONOMY
tpt-adasp/speeding_inferences
tpt-adasp/ss-vq-vae
Self-supervised VQ-VAE for One-Shot Music Style Transfer
tpt-adasp/Yaafe
Audio features extraction
tpt-adasp/a-sound-description
Prompting CLAP with class descriptions to enhance zero-shot audio classification
tpt-adasp/Contrastive-NMF
Contrastive-NMF algorithm
tpt-adasp/groove2groove
Code for "Groove2Groove: One-Shot Music Style Transfer with Supervision from Synthetic Data"
tpt-adasp/ismir2019-music-style-translation
The code for the ISMIR 2019 paper “Supervised symbolic music style translation using synthetic data”.
tpt-adasp/jax-spectral
Short-time Fourier transform (STFT) for JAX
tpt-adasp/museflow
Music sequence learning toolkit
tpt-adasp/nopdb
NoPdb: Non-interactive Python Debugger
tpt-adasp/pybiab
🎸🎹🥁 Band-in-a-Box/RealBand automation scripts
tpt-adasp/ugosa
Source code for the paper "User-guided one-shot deep model adaptation for music source separation" from Cantisani G. et al.