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Institute of Computational Perception's Projects

accompanion icon accompanion

An expressive accompaniment system for piano performances

accompanion_ijcai2023 icon accompanion_ijcai2023

Supplementary material for "The ACCompanion: Combining Reactivity, Robustness, and Musical Expressivity in an Automatic Piano Accompanist" presented at IJCAI-23

adv-multvae icon adv-multvae

This repository accompanies the paper "Unlearning Protected User Attributes in Recommendations with Adversarial Training"

asap-dataset icon asap-dataset

A dataset of 222 digital musical scores aligned with 1068 performances (more than 92 hours) of Western classical piano music.

audio-tagger icon audio-tagger

Audio processing system for synchronized visualization and class prediction

audio_sheet_retrieval icon audio_sheet_retrieval

Learning Audio–Sheet Music Correspondences for Cross-Modal Retrieval and Piece Identification

audiolime icon audiolime

audioLIME: Listenable Explanations Using Source Separation

basismixer icon basismixer

The Basis Mixer is an implementation of the Basis Function Modeling framework for musical expression

cca_layer icon cca_layer

Implementation of Canonical Correlation Analysis Layer for Cross-Modality Retrieval.

composer_concept icon composer_concept

Supervised and unsupervised Concept-based explanation of pretrained music classifiers

da icon da

Pytorch domain adaptation package

dcase_task2 icon dcase_task2

Training General-Purpose Audio Tagging Networks with Noisy Labels and Iterative Self-Verification

dds icon dds

Codebase for Differentiable Dictionary Search (DDS) method

deep_lda icon deep_lda

Implementation of Deep Linear Discriminant Analysis (DeepLDA)

deepgenir icon deepgenir

Code for "A Modern Perspective on Query Likelihood with Deep Generative Retrieval Models"

efficientleaf icon efficientleaf

Official implementation of EfficientLEAF, a learnable audio frontend.

fairnessretrievalresults icon fairnessretrievalresults

Code and resources of the paper "Societal Biases in Retrieved Contents: Measurement Frameworkand Adversarial Mitigation for BERT Rankers"

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