Gerhard Widmer

research

∙ 09/21/2023

Towards Robust and Truly Large-Scale Audio-Sheet Music Retrieval

A range of applications of multi-modal music information retrieval is ce...

0 Luis Carvalho, et al. ∙

research

∙ 09/21/2023

Self-Supervised Contrastive Learning for Robust Audio-Sheet Music Retrieval Systems

Linking sheet music images to audio recordings remains a key problem for...

0 Luis Carvalho, et al. ∙

research

∙ 09/21/2023

Passage Summarization with Recurrent Models for Audio-Sheet Music Retrieval

Many applications of cross-modal music retrieval are related to connecti...

0 Luis Carvalho, et al. ∙

research

∙ 09/05/2023

Symbolic Music Representations for Classification Tasks: A Systematic Evaluation

Music Information Retrieval (MIR) has seen a recent surge in deep learni...

0 Huan Zhang, et al. ∙

research

∙ 09/05/2023

The Batik-plays-Mozart Corpus: Linking Performance to Score to Musicological Annotations

We present the Batik-plays-Mozart Corpus, a piano performance dataset co...

0 Patricia Hu, et al. ∙

research

∙ 08/18/2023

Exploring Sampling Techniques for Generating Melodies with a Transformer Language Model

Research in natural language processing has demonstrated that the qualit...

0 Mathias Rose Bjare, et al. ∙

research

∙ 08/08/2023

Advancing Natural-Language Based Audio Retrieval with PaSST and Large Audio-Caption Data Sets

This work presents a text-to-audio-retrieval system based on pre-trained...

0 Paul Primus, et al. ∙

research

∙ 07/07/2023

Roman Numeral Analysis with Graph Neural Networks: Onset-wise Predictions from Note-wise Features

Roman Numeral analysis is the important task of identifying chords and t...

0 Emmanouil Karystinaios, et al. ∙

research

∙ 06/29/2023

Predicting Music Hierarchies with a Graph-Based Neural Decoder

This paper describes a data-driven framework to parse musical sequences ...

0 Francesco Foscarin, et al. ∙

research

∙ 06/20/2023

On Frequency-Wise Normalizations for Better Recording Device Generalization in Audio Spectrogram Transformers

Varying conditions between the data seen at training and at application ...

0 Paul Primus and, et al. ∙

research

∙ 06/13/2023

Domain Information Control at Inference Time for Acoustic Scene Classification

Domain shift is considered a challenge in machine learning as it causes ...

11 Shahed Masoudian, et al. ∙

research

∙ 05/16/2023

Discrete Diffusion Probabilistic Models for Symbolic Music Generation

Denoising Diffusion Probabilistic Models (DDPMs) have made great strides...

0 Matthias Plasser, et al. ∙

research

∙ 05/12/2023

Device-Robust Acoustic Scene Classification via Impulse Response Augmentation

The ability to generalize to a wide range of recording devices is a cruc...

10 Tobias Morocutti, et al. ∙

research

∙ 04/28/2023

Musical Voice Separation as Link Prediction: Modeling a Musical Perception Task as a Multi-Trajectory Tracking Problem

This paper targets the perceptual task of separating the different inter...

0 Emmanouil Karystinaios, et al. ∙

research

∙ 04/24/2023

The ACCompanion: Combining Reactivity, Robustness, and Musical Expressivity in an Automatic Piano Accompanist

This paper introduces the ACCompanion, an expressive accompaniment syste...

0 Carlos Cancino-Chacón, et al. ∙

research

∙ 03/03/2023

Low-Complexity Audio Embedding Extractors

Solving tasks such as speaker recognition, music classification, or sema...

0 Florian Schmid, et al. ∙

research

∙ 03/03/2023

Decoding and Visualising Intended Emotion in an Expressive Piano Performance

Expert musicians can mould a musical piece to convey specific emotions t...

0 Shreyan Chowdhury, et al. ∙

research

∙ 11/28/2022

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

This paper describes several improvements to a new method for signal dec...

0 Lukas Samuel Martak, et al. ∙

research

∙ 11/28/2022

Probabilistic Modelling of Signal Mixtures with Differentiable Dictionaries

We introduce a novel way to incorporate prior information into (semi-) s...

0 Lukas Samuel Martak, et al. ∙

research

∙ 11/25/2022

Learning General Audio Representations with Large-Scale Training of Patchout Audio Transformers

The success of supervised deep learning methods is largely due to their ...

0 Khaled Koutini, et al. ∙

research

∙ 11/09/2022

Efficient Large-scale Audio Tagging via Transformer-to-CNN Knowledge Distillation

Audio Spectrogram Transformer models rule the field of Audio Tagging, ou...

0 Florian Schmid, et al. ∙

research

∙ 08/31/2022

Cadence Detection in Symbolic Classical Music using Graph Neural Networks

Cadences are complex structures that have been driving music from the be...

0 Emmanouil Karystinaios, et al. ∙

research

∙ 08/26/2022

Concept-Based Techniques for "Musicologist-friendly" Explanations in a Deep Music Classifier

Current approaches for explaining deep learning systems applied to music...

0 Francesco Foscarin, et al. ∙

research

∙ 08/24/2022

Improving Natural-Language-based Audio Retrieval with Transfer Learning and Audio Text Augmentations

The absence of large labeled datasets remains a significant challenge in...

27 Paul Primus, et al. ∙

research

∙ 08/24/2022

Improved Zero-Shot Audio Tagging Classification with Patchout Spectrogram Transformers

Standard machine learning models for tagging and classifying acoustic si...

2 Paul Primus, et al. ∙

research

∙ 06/02/2022

The match file format: Encoding Alignments between Scores and Performances

This paper presents the specifications of match: a file format that exte...

0 Francesco Foscarin, et al. ∙

research

∙ 06/02/2022

Partitura: A Python Package for Symbolic Music Processing

Partitura is a lightweight Python package for handling symbolic musical ...

0 Carlos Cancino-Chacón, et al. ∙

research

∙ 05/24/2022

Defending a Music Recommender Against Hubness-Based Adversarial Attacks

Adversarial attacks can drastically degrade performance of recommenders ...

0 Katharina Hoedt, et al. ∙

research

∙ 11/12/2021

Fully Automatic Page Turning on Real Scores

We present a prototype of an automatic page turning system that works di...

0 Florian Henkel, et al. ∙

research

∙ 10/11/2021

Efficient Training of Audio Transformers with Patchout

The great success of transformer-based models in natural language proces...

0 Khaled Koutini, et al. ∙

research

∙ 10/06/2021

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

Fully automatic opera tracking is challenging because of the acoustic co...

0 Charles Brazier, et al. ∙

research

∙ 07/28/2021

On Perceived Emotion in Expressive Piano Performance: Further Experimental Evidence for the Relevance of Mid-level Perceptual Features

Despite recent advances in audio content-based music emotion recognition...

0 Shreyan Chowdhury, et al. ∙

research

∙ 07/19/2021

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

Local explanation methods such as LIME have become popular in MIR as too...

0 Verena Praher, et al. ∙

research

∙ 07/19/2021

Over-Parameterization and Generalization in Audio Classification

Convolutional Neural Networks (CNNs) have been dominating classification...

4 Khaled Koutini, et al. ∙

research

∙ 06/14/2021

Tracing Back Music Emotion Predictions to Sound Sources and Intuitive Perceptual Qualities

Music emotion recognition is an important task in MIR (Music Information...

0 Shreyan Chowdhury, et al. ∙

research

∙ 05/26/2021

Exploiting Temporal Dependencies for Cross-Modal Music Piece Identification

This paper addresses the problem of cross-modal musical piece identifica...

0 Luis Carvalho, et al. ∙

research

∙ 05/26/2021

Receptive Field Regularization Techniques for Audio Classification and Tagging with Deep Convolutional Neural Networks

In this paper, we study the performance of variants of well-known Convol...

0 Khaled Koutini, et al. ∙

research

∙ 05/18/2021

Handling Structural Mismatches in Real-time Opera Tracking

Algorithms for reliable real-time score following in live opera promise ...

0 Charles Brazier, et al. ∙

research

∙ 05/10/2021

Multi-modal Conditional Bounding Box Regression for Music Score Following

This paper addresses the problem of sheet-image-based on-line audio-to-s...

0 Florian Henkel, et al. ∙

research

∙ 02/26/2021

Towards Explaining Expressive Qualities in Piano Recordings: Transfer of Explanatory Features via Acoustic Domain Adaptation

Emotion and expressivity in music have been topics of considerable inter...

0 Shreyan Chowdhury, et al. ∙

research

∙ 11/05/2020

Low-Complexity Models for Acoustic Scene Classification Based on Receptive Field Regularization and Frequency Damping

Deep Neural Networks are known to be very demanding in terms of computin...

0 Khaled Koutini, et al. ∙

research

∙ 11/05/2020

Anomalous Sound Detection as a Simple Binary Classification Problem with Careful Selection of Proxy Outlier Examples

Unsupervised anomalous sound detection is concerned with identifying sou...

8 Paul Primus, et al. ∙

research

∙ 10/21/2020

Addressing the Recitative Problem in Real-time Opera Tracking

Robust real-time opera tracking (score following) would be extremely use...

0 Charles Brazier, et al. ∙

research

∙ 09/04/2020

Towards Musically Meaningful Explanations Using Source Separation

Deep neural networks (DNNs) are successfully applied in a wide variety o...

0 Verena Haunschmid, et al. ∙

research

∙ 08/14/2020

The Impact of Label Noise on a Music Tagger

We explore how much can be learned from noisy labels in audio music tagg...

0 Katharina Prinz, et al. ∙

research

∙ 08/05/2020

On the Characterization of Expressive Performance in Classical Music: First Results of the Con Espressione Game

A piece of music can be expressively performed, or interpreted, in a var...

0 Carlos Cancino-Chacón, et al. ∙

research

∙ 08/02/2020

audioLIME: Listenable Explanations Using Source Separation

Deep neural networks (DNNs) are successfully applied in a wide variety o...

0 Verena Haunschmid, et al. ∙

research

∙ 07/27/2020

Receptive-Field Regularized CNNs for Music Classification and Tagging

Convolutional Neural Networks (CNNs) have been successfully used in vari...

0 Khaled Koutini, et al. ∙

research

∙ 07/21/2020

Learning to Read and Follow Music in Complete Score Sheet Images

This paper addresses the task of score following in sheet music given as...

0 Florian Henkel, et al. ∙

research

∙ 07/06/2020

On Data Augmentation and Adversarial Risk: An Empirical Analysis

Data augmentation techniques have become standard practice in deep learn...

11 Hamid Eghbal-zadeh, et al. ∙

Gerhard Widmer

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