YannisBilly

spacy-lookups-data

📂 Additional lookup tables and data resources for spaCy

background_sensitivity_of_CNNs

This repository will contain the assignment for the module of "Deep Learning for Audio and Music". The objective is to implement two Deep Neural Network architectures, for two different kind of tasks and try to combine those inferences. I chose to implement a U-Net for Spectrogram denoising and a DenseNet for Environmental Sound Classification.

Beat_Tracking_Playground

Evaluation-of-pretrained-language-models-on-music-understanding

The official repository for the NLP4Musa accepted paper: 'Evaluation of pretrained language models on music understanding'. In this work we tried to quantify the musical knowledge of Transformer Language, as well as discover specific deficiencies that they posses.

Harmonic_change_detection

i_can_listen_but_cannot_read

Code for reproducibility purposes for the accepted paper at ISMIR 2024 - 'I can listen but cannot read: An evaluation of two-tower multimodal systems for instrument recognition'

muscall

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

personalized_dataset_gathering

Streamlit app setup and testing

sota-music-tagging-models

YannisBilly/i_can_listen_but_cannot_read

Code for reproducibility purposes for the accepted paper at ISMIR 2024 - 'I can listen but cannot read: An evaluation of two-tower multimodal systems for instrument recognition'

YannisBilly/Evaluation-of-pretrained-language-models-on-music-understanding

The official repository for the NLP4Musa accepted paper: 'Evaluation of pretrained language models on music understanding'. In this work we tried to quantify the musical knowledge of Transformer Language, as well as discover specific deficiencies that they posses.

YannisBilly/background_sensitivity_of_CNNs

This repository will contain the assignment for the module of "Deep Learning for Audio and Music". The objective is to implement two Deep Neural Network architectures, for two different kind of tasks and try to combine those inferences. I chose to implement a U-Net for Spectrogram denoising and a DenseNet for Environmental Sound Classification.

YannisBilly/Beat_Tracking_Playground

YannisBilly/Harmonic_change_detection

YannisBilly/muscall

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

YannisBilly/personalized_dataset_gathering

Streamlit app setup and testing

YannisBilly/sota-music-tagging-models