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...
share
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...
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...
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...
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...
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...
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...
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...
research
∙
06/29/2023
Predicting Music Hierarchies with a Graph-Based Neural Decoder
This paper describes a data-driven framework to parse musical sequences ...
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 ...
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 ...
research
∙
05/16/2023
Discrete Diffusion Probabilistic Models for Symbolic Music Generation
Denoising Diffusion Probabilistic Models (DDPMs) have made great strides...
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...
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...
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...
research
∙
03/03/2023
Low-Complexity Audio Embedding Extractors
Solving tasks such as speaker recognition, music classification, or sema...
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...
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...
research
∙
11/28/2022
Probabilistic Modelling of Signal Mixtures with Differentiable Dictionaries
We introduce a novel way to incorporate prior information into (semi-) s...
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 ...
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...
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...
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...
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...
research
∙
08/24/2022
Improved Zero-Shot Audio Tagging Classification with Patchout Spectrogram Transformers
Standard machine learning models for tagging and classifying acoustic si...
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...
research
∙
06/02/2022
Partitura: A Python Package for Symbolic Music Processing
Partitura is a lightweight Python package for handling symbolic musical ...
research
∙
05/24/2022
Defending a Music Recommender Against Hubness-Based Adversarial Attacks
Adversarial attacks can drastically degrade performance of recommenders ...
research
∙
11/12/2021
Fully Automatic Page Turning on Real Scores
We present a prototype of an automatic page turning system that works di...
research
∙
10/11/2021
Efficient Training of Audio Transformers with Patchout
The great success of transformer-based models in natural language proces...
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...
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...
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...
research
∙
07/19/2021
Over-Parameterization and Generalization in Audio Classification
Convolutional Neural Networks (CNNs) have been dominating classification...
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...
research
∙
05/26/2021
Exploiting Temporal Dependencies for Cross-Modal Music Piece Identification
This paper addresses the problem of cross-modal musical piece identifica...
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...
research
∙
05/18/2021
Handling Structural Mismatches in Real-time Opera Tracking
Algorithms for reliable real-time score following in live opera promise ...
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...
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...
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...
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...
research
∙
10/21/2020
Addressing the Recitative Problem in Real-time Opera Tracking
Robust real-time opera tracking (score following) would be extremely use...
research
∙
09/04/2020
Towards Musically Meaningful Explanations Using Source Separation
Deep neural networks (DNNs) are successfully applied in a wide variety o...
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...
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...
research
∙
08/02/2020
audioLIME: Listenable Explanations Using Source Separation
Deep neural networks (DNNs) are successfully applied in a wide variety o...
research
∙
07/27/2020
Receptive-Field Regularized CNNs for Music Classification and Tagging
Convolutional Neural Networks (CNNs) have been successfully used in vari...
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...
research
∙
07/06/2020