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20162023
most citedCross-Modal Music Retrieval and Applications: An Overview of Key Methodologies

64 citations · 322 across the 45 of their papers we have counts for

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15 papers · 1 filter

eess.AS20221 cited

Differentiable Dictionary Search: Integrating Linear Mixing with Deep Non-Linear Modelling for Audio Source Separation

Lukáš Samuel Marták, Rainer Kelz, Gerhard Widmer

This paper describes several improvements to a new method for signal decomposition that we recently formulated under the name of Differentiable Dictionary Search (DDS). The fundame…

eess.AS20221 cited

Probabilistic Modelling of Signal Mixtures with Differentiable Dictionaries

Lukáš Samuel Marták, Rainer Kelz, Gerhard Widmer

We introduce a novel way to incorporate prior information into (semi-) supervised non-negative matrix factorization, which we call differentiable dictionary search. It enables gene…

eess.AS2022

Defending a Music Recommender Against Hubness-Based Adversarial Attacks

Katharina Hoedt, Arthur Flexer, Gerhard Widmer

Adversarial attacks can drastically degrade performance of recommenders and other machine learning systems, resulting in an increased demand for defence mechanisms. We present a ne…

eess.AS2021

Improving Real-time Score Following in Opera by Combining Music with Lyrics Tracking

Charles Brazier, Gerhard Widmer

Fully automatic opera tracking is challenging because of the acoustic complexity of the genre, combining musical and linguistic information (singing, speech) in complex ways. In th…

eess.AS20211 cited

On-Line Audio-to-Lyrics Alignment Based on a Reference Performance

Charles Brazier, Gerhard Widmer

Audio-to-lyrics alignment has become an increasingly active research task in MIR, supported by the emergence of several open-source datasets of audio recordings with word-level lyr…

eess.AS20212 cited

On the Veracity of Local, Model-agnostic Explanations in Audio Classification: Targeted Investigations with Adversarial Examples

Verena Praher, Katharina Prinz, Arthur Flexer +1

Local explanation methods such as LIME have become popular in MIR as tools for generating post-hoc, model-agnostic explanations of a model's classification decisions. The basic ide…