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07/24/2023
An objective evaluation of Hearing Aids and DNN-based speech enhancement in complex acoustic scenes
We investigate the objective performance of five high-end commercially a...
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06/14/2023
Combining piano performance dimensions for score difficulty classification
Predicting the difficulty of playing a musical score is essential for st...
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04/24/2023
Pre-Training Strategies Using Contrastive Learning and Playlist Information for Music Classification and Similarity
In this work, we investigate an approach that relies on contrastive lear...
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02/23/2023
Data leakage in cross-modal retrieval training: A case study
The recent progress in text-based audio retrieval was largely propelled ...
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11/15/2022
FlowGrad: Using Motion for Visual Sound Source Localization
Most recent work in visual sound source localization relies on semantic ...
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10/06/2022
Matching Text and Audio Embeddings: Exploring Transfer-learning Strategies for Language-based Audio Retrieval
We present an analysis of large-scale pretrained deep learning models us...
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07/22/2022
Multilabel Prototype Generation for Data Reduction in k-Nearest Neighbour classification
Prototype Generation (PG) methods are typically considered for improving...
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03/24/2022
Score difficulty analysis for piano performance education based on fingering
In this paper, we introduce score difficulty classification as a sub-tas...
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11/26/2021
Emotion Embedding Spaces for Matching Music to Stories
Content creators often use music to enhance their stories, as it can be ...
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11/26/2021
Semi-Supervised Music Tagging Transformer
We present Music Tagging Transformer that is trained with a semi-supervi...
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11/15/2021
Piano Fingering with Reinforcement Learning
Hand and finger movements are a mainstay of piano technique. Automatic F...
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10/14/2021
Evaluating Off-the-Shelf Machine Listening and Natural Language Models for Automated Audio Captioning
Automated audio captioning (AAC) is the task of automatically generating...
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09/26/2021
Soundata: A Python library for reproducible use of audio datasets
Soundata is a Python library for loading and working with audio datasets...
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07/01/2021
Improving Sound Event Classification by Increasing Shift Invariance in Convolutional Neural Networks
Recent studies have put into question the commonly assumed shift invaria...
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06/04/2021
What is fair? Exploring the artists' perspective on the fairness of music streaming platforms
Music streaming platforms are currently among the main sources of music ...
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05/21/2021
LoopNet: Musical Loop Synthesis Conditioned On Intuitive Musical Parameters
Loops, seamlessly repeatable musical segments, are a cornerstone of mode...
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05/05/2021
Self-Supervised Learning from Automatically Separated Sound Scenes
Real-world sound scenes consist of time-varying collections of sound sou...
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01/30/2021
Melon Playlist Dataset: a public dataset for audio-based playlist generation and music tagging
One of the main limitations in the field of audio signal processing is t...
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11/15/2020
Unsupervised Contrastive Learning of Sound Event Representations
Self-supervised representation learning can mitigate the limitations in ...
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10/30/2020
Multimodal Metric Learning for Tag-based Music Retrieval
Tag-based music retrieval is crucial to browse large-scale music librari...
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10/27/2020
Learning Contextual Tag Embeddings for Cross-Modal Alignment of Audio and Tags
Self-supervised audio representation learning offers an attractive alter...
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10/01/2020
FSD50K: an Open Dataset of Human-Labeled Sound Events
Most existing datasets for sound event recognition (SER) are relatively ...
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08/26/2020
TIV.lib: an open-source library for the tonal description of musical audio
In this paper, we present TIV.lib, an open-source library for the conten...
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08/26/2020
The Freesound Loop Dataset and Annotation Tool
Music loops are essential ingredients in electronic music production, an...
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08/17/2020
Exploring Longitudinal Effects of Session-based Recommendations
Session-based recommendation is a problem setting where the task of a re...
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06/15/2020
COALA: Co-Aligned Autoencoders for Learning Semantically Enriched Audio Representations
Audio representation learning based on deep neural networks (DNNs) emerg...
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06/01/2020
Evaluation of CNN-based Automatic Music Tagging Models
Recent advances in deep learning accelerated the development of content-...
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05/02/2020
Addressing Missing Labels in Large-scale Sound Event Recognition using a Teacher-student Framework with Loss Masking
The study of label noise in sound event recognition has recently gained ...
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04/08/2020
Search Result Clustering in Collaborative Sound Collections
The large size of nowadays' online multimedia databases makes retrieving...
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03/16/2020
TensorFlow Audio Models in Essentia
Essentia is a reference open-source C++/Python library for audio and mus...
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11/25/2019
Neural Percussive Synthesis Parameterised by High-Level Timbral Features
We present a deep neural network-based methodology for synthesising perc...
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11/12/2019
Artist and style exposure bias in collaborative filtering based music recommendations
Algorithms have an increasing influence on the music that we consume and...
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11/12/2019
Music Auto-tagging Using CNNs and Mel-spectrograms With Reduced Frequency and Time Resolution
Automatic tagging of music is an important research topic in Music Infor...
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11/11/2019
Visualizing and Understanding Self-attention based Music Tagging
Recently, we proposed a self-attention based music tagging model. Differ...
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10/26/2019
Model-agnostic Approaches to Handling Noisy Labels When Training Sound Event Classifiers
Label noise is emerging as a pressing issue in sound event classificatio...
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09/14/2019
musicnn: Pre-trained convolutional neural networks for music audio tagging
Pronounced as "musician", the musicnn library contains a set of pre-trai...
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08/27/2019
A hybrid parametric-deep learning approach for sound event localization and detection
This work describes and discusses an algorithm submitted to the Sound Ev...
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07/19/2019
Data Augmentation for Instrument Classification Robust to Audio Effects
Reusing recorded sounds (sampling) is a key component in Electronic Musi...
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06/12/2019
Toward Interpretable Music Tagging with Self-Attention
Self-attention is an attention mechanism that learns a representation by...
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06/07/2019
Audio tagging with noisy labels and minimal supervision
This paper introduces Task 2 of the DCASE2019 Challenge, titled "Audio t...
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05/16/2019
Multi Web Audio Sequencer: Collaborative Music Making
Recent advancements in web-based audio systems have enabled sufficiently...
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03/28/2019
Skip prediction using boosting trees based on acoustic features of tracks in sessions
The Spotify Sequential Skip Prediction Challenge focuses on predicting i...
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01/08/2019
Using offline metrics and user behavior analysis to combine multiple systems for music recommendation
There are many offline metrics that can be used as a reference for evalu...
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01/04/2019
Learning Sound Event Classifiers from Web Audio with Noisy Labels
As sound event classification moves towards larger datasets, issues of l...
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01/02/2019
Automatic playlist continuation using a hybrid recommender system combining features from text and audio
The ACM RecSys Challenge 2018 focuses on music recommendation in the con...
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11/21/2018
Facilitating the Manual Annotation of Sounds When Using Large Taxonomies
Properly annotated multimedia content is crucial for supporting advances...
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10/29/2018
End-to-end music source separation: is it possible in the waveform domain?
Most of the currently successful source separation techniques use the ma...
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10/24/2018
Training neural audio classifiers with few data
We investigate supervised learning strategies that improve the training ...
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07/26/2018
General-purpose Tagging of Freesound Audio with AudioSet Labels: Task Description, Dataset, and Baseline
This paper describes Task 2 of the DCASE 2018 Challenge, titled "General...
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07/06/2018