Jakob Abeßer

Orcid: 0000-0003-4689-7944

Affiliations:
  • Fraunhofer Institute for Digital Media Technology (IDMT), Germany


According to our database1, Jakob Abeßer authored at least 63 papers between 2009 and 2024.

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Bibliography

2024
Visual and audio scene classification for detecting discrepancies in video: a baseline method and experimental protocol.
Proceedings of the 3rd ACM International Workshop on Multimedia AI against Disinformation, 2024

Towards Measuring and Forecasting Noise Exposure at the VELTINS-Arena in Gel senkirchen, Germany.
Proceedings of the 2024 IEEE 5th International Symposium on the Internet of Sounds (IS2), Erlangen, Germany, September 30, 2024

Towards Domain Shift in Location-Mismatch Scenarios for Bird Activity Detection.
Proceedings of the 32nd European Signal Processing Conference, 2024

2023
How Robust are Audio Embeddings for Polyphonic Sound Event Tagging?
IEEE ACM Trans. Audio Speech Lang. Process., 2023

Unsupervised Feature-Space Domain Adaptation applied for Audio Classification.
Proceedings of the 2023 4th International Symposium on the Internet of Sounds, 2023

Uncertainty in Semi-Supervised Audio Classification - A Novel Extension for FixMatch.
Proceedings of the 31st European Signal Processing Conference, 2023

How reliable are posterior class probabilities in automatic music classification?
Proceedings of the 18th International Audio Mostly Conference, 2023

2022
JSD: A Dataset for Structure Analysis in Jazz Music.
Trans. Int. Soc. Music. Inf. Retr., 2022

Multi-pitch Estimation meets Microphone Mismatch: Applicability of Domain Adaptation.
Proceedings of the 23rd International Society for Music Information Retrieval Conference, 2022

2021
Multi-input Architecture and Disentangled Representation Learning for Multi-dimensional Modeling of Music Similarity.
CoRR, 2021

Towards Audio Domain Adaptation for Acoustic Scene Classification using Disentanglement Learning.
CoRR, 2021

USM-SED - A Dataset for Polyphonic Sound Event Detection in Urban Sound Monitoring Scenarios.
CoRR, 2021

DESED-FL and URBAN-FL: Federated Learning Datasets for Sound Event Detection.
Proceedings of the 29th European Signal Processing Conference, 2021

IDMT-Traffic: An Open Benchmark Dataset for Acoustic Traffic Monitoring Research.
Proceedings of the 29th European Signal Processing Conference, 2021

Predominant Jazz Instrument Recognition: Empirical Studies on Neural Network Architectures.
Proceedings of the 29th European Signal Processing Conference, 2021

Deep Learning-Based Music Instrument Recognition: Exploring Learned Feature Representations.
Proceedings of the Music in the AI Era - 15th International Symposium, 2021

2020
A study on spoken language identification using deep neural networks.
Proceedings of the AM'20, 15th International Audio Mostly Conference, Graz, 2020

2019
Smart Solutions to Cope with Urban Noise Pollution.
ERCIM News, 2019

Cross-version Singing Voice Detection in Opera Recordings: Challenges for Supervised Learning.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

Investigating CNN-based Instrument Family Recognition for Western Classical Music Recordings.
Proceedings of the 20th International Society for Music Information Retrieval Conference, 2019

Fundamental Frequency Contour Classification: A Comparison between Hand-crafted and CNN-based Features.
Proceedings of the IEEE International Conference on Acoustics, 2019

Sounding Industry: Challenges and Datasets for Industrial Sound Analysis.
Proceedings of the 27th European Signal Processing Conference, 2019

Urban Noise Monitoring in the Stadtlärm Project - A Field Report.
Proceedings of the Workshop on Detection and Classification of Acoustic Scenes and Events 2019 (DCASE 2019), 2019

Towards Deep Learning Strategies for Transcribing Electroacoustic Music.
Proceedings of the Perception, Representations, Image, Sound, Music, 2019

2018
Bridging the Gap: Enriching YouTube Videos with Jazz Music Annotations.
Frontiers Digit. Humanit., 2018

Computational Corpus Analysis: A Case Study on Jazz Solos.
Proceedings of the 19th International Society for Music Information Retrieval Conference, 2018

Jazz Solo Instrument Classification with Convolutional Neural Networks, Source Separation, and Transfer Learning.
Proceedings of the 19th International Society for Music Information Retrieval Conference, 2018

Improving Bass Saliency Estimation Using Transfer Learning and Label Propagation.
Proceedings of the 19th International Society for Music Information Retrieval Conference, 2018

A Distributed Sensor Network for Monitoring Noise Level and Noise Sources in Urban Environments.
Proceedings of the 6th IEEE International Conference on Future Internet of Things and Cloud, 2018

2017
Instrument-Centered Music Transcription of Solo Bass Guitar Recordings.
IEEE ACM Trans. Audio Speech Lang. Process., 2017

Score-Informed Analysis of Tuning, Intonation, Pitch Modulation, and Dynamics in Jazz Solos.
IEEE ACM Trans. Audio Speech Lang. Process., 2017

Deep Learning for Jazz Walking Bass Transcription.
Proceedings of the AES International Conference Semantic Audio 2017, 2017

Data-driven solo voice enhancement for jazz music retrieval.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Acoustic Scene Classification by Combining Autoencoder-Based Dimensionality Reduction and Convolutional Neural Networks.
Proceedings of the Workshop on Detection and Classification of Acoustic Scenes and Events, 2017

2016
Towards Evaluating Multiple Predominant Melody Annotations in Jazz Recordings.
Proceedings of the 17th International Society for Music Information Retrieval Conference, 2016

2015
New Sonorities for Early Jazz Recordings Using Sound Source Separation and Automatic Mixing Tools.
Proceedings of the 16th International Society for Music Information Retrieval Conference, 2015

Score-Informed Analysis of Intonation and Pitch Modulation in Jazz Solos.
Proceedings of the 16th International Society for Music Information Retrieval Conference, 2015

Parameter extraction for bass guitar sound models including playing styles.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

2014
Automatic transcription of bass guitar tracks applied for music genre classification and sound synthesis.
PhD thesis, 2014

A GMM Approach to Singing Language Identification.
Proceedings of the AES International Conference on Semantic Audio 2014, 2014

Instrument-Centered Music Transcription of Bass Guitar Tracks.
Proceedings of the AES International Conference on Semantic Audio 2014, 2014

Automatic Competency Assessment of Rhythm Performances of Ninth-grade and Tenth-grade Pupils.
Proceedings of the Music Technology meets Philosophy, 2014

Automatic Tablature Transcription of Electric Guitar Recordings by Estimation of Score- and Instrument-Related Parameters.
Proceedings of the 17th International Conference on Digital Audio Effects, 2014

Score-Informed Tracking and Contextual Analysis of Fundamental Frequency Contours in Trumpet and Saxophone Jazz Solos.
Proceedings of the 17th International Conference on Digital Audio Effects, 2014

2013
Real-time guitar string detection for music education software.
Proceedings of the 14th International Workshop on Image Analysis for Multimedia Interactive Services, 2013

A Multiple-Expert Framework for Instrument Recognition.
Proceedings of the Sound, Music, and Motion - 10th International Symposium, 2013

Towards coarse-scale event detection in music.
Proceedings of the Audio Mostly 2013, 2013

2012
A digitalwaveguide model of the electric bass guitar including different playing techniques.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Music Information Retrieval Meets Music Education.
Proceedings of the Multimodal Music Processing, 2012

Automatic String Detection for Bass Guitar and Electric Guitar.
Proceedings of the From Sounds to Music and Emotions - 9th International Symposium, 2012

Improved music similarity computation based on tone objects.
Proceedings of the Audio Mostly 2012, 2012

2011
Automatic Classification of Musical Pieces into Global Cultural Areas.
Proceedings of the AES International Conference Semantic Audio 2011, 2011

Automatic Recognition and Parametrization of Frequency Modulation Techniques in Bass Guitar Recordings.
Proceedings of the AES International Conference Semantic Audio 2011, 2011

Modeling Musical Attributes to Characterize Two-Track Recordings with Bass and Drums.
Proceedings of the 12th International Society for Music Information Retrieval Conference, 2011

Modeling musical attributes to characterize ensemble recordings using rhythmic audio features.
Proceedings of the IEEE International Conference on Acoustics, 2011

Artist filtering for non-western music classification.
Proceedings of the AM '11, 2011

2010
Bass Playing Style Detection Based on High-level Features and Pattern Similarity.
Proceedings of the 11th International Society for Music Information Retrieval Conference, 2010

Feature-based extraction of plucking and expression styles of the electric bass guitar.
Proceedings of the IEEE International Conference on Acoustics, 2010

Songs2See and GlobalMusic2One: Two Applied Research Projects in Music Information Retrieval at Fraunhofer IDMT.
Proceedings of the Exploring Music Contents - 7th International Symposium, 2010

Automatic genre classification of Latin American music using characteristic rhythmic patterns.
Proceedings of the AM '10, 2010

2009
From Multi-Labeling to Multi-Domain-Labeling: A Novel Two-Dimensional Approach to Music Genre Classification.
Proceedings of the 10th International Society for Music Information Retrieval Conference, 2009

Genre Classification Using Bass-Related High-Level Features and Playing Styles.
Proceedings of the 10th International Society for Music Information Retrieval Conference, 2009

Music Search and Recommendation.
Proceedings of the Handbook of Multimedia for Digital Entertainment and Arts, 2009


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