This webpage lists the publications from the ISAD project. We provide a collection of BibTeX entries for all these publications for downloading.
Journal Articles
2021
- Michael Krause, Meinard Müller, and Christof Weiß, "Singing voice detection in opera recordings: A case study on robustness and generalization", Electronics, 10(10), 1214, 2021.
- Michael Taenzer, Stylianos Ioannis Mimilakis, and Jakob Abeßer, "Informing Piano Multi-Pitch Estimation with Inferred Local Polyphony Based on Convolutional Neural Networks", Electronics, 10(7), 851, 2021.
- Jakob Abeßer and Meinard Müller, "Jazz Bass Transcription Using a U-Net Architecture", Electronics, 10(6), 670, 2021.
- Frank Zalkow and Meinard Müller, "CTC-Based Learning of Chroma Features for Score–Audio Music Retrieval", IEEE/ACM Transactions on Audio, Speech, and Language Processing (TASLP), 29, 2021.
2020
- Jakob Abeßer, "A Review of Deep Learning Based Methods for Acoustic Scene Classification", Applied Sciences, 10(6), 2020.
- Frank Zalkow and Meinard Müller, "Learning Low-Dimensional Embeddings of Audio Shingles for Cross-Version Retrieval of Classical Music", Applied Sciences, 10(1), 2020.
- Frank Zalkow, Stefan Balke, Vlora Arifi-Müller, and Meinard Müller, "MTD: A multimodal dataset of musical themes for MIR research", Transactions of the International Society for Music Information Retrieval (TISMIR), 3(1), 180-192, 2020.
2019
- Stylianos I. Mimilakis, Konstantinos Drossos, Estefanía Cano, and Gerald Schuller, "Examining the Mapping Functions of Denoising Autoencoders in Singing Voice Separation", to appear in IEEE/ACM Transactions on Audio, Speech, and Language Processing (TASLP).
Conference Publications
2020
- Alexandra Draghici and Jakob Abeßer and Hanna Lukashevich, "A Study on Spoken Language Identification using Deep Neural Networks", in Proceedings of the 15th Audio Mostly Conference (AM'20), Graz, Austria, 2020.
- Konstantinos Drossos, Stylianos Ioannis Mimilakis, Shayan Gharib, Yanxiong Li, and Tuomas Virtanen, "Sound Event Detection with Depthwise Separable and Dilated Convolutions", in Proceedings of the 2020 IEEE International Joint Conference on Neural Networks (IJCNN), Glasgow, Scotland (UK), 2020.
- Michael Krause, Frank Zalkow, Julia Zalkow, Christof Weiß, and Meinard Müller, "Classifying Leitmotifs in Recordings of Operas by Richard Wagner", in Proceedings of the 21st International Society for Music Information Retrieval Conference (ISMIR), Montréal, Canada, 2020.
- Stylianos Ioannis Mimilakis, Konstantinos Drossos, and Gerald Schuller, "Unsupervised Interpretable Representation Learning for Singing Voice Separation", in Proceedings of the 27th European Signal Processing Conference (EUSIPCO 2020), Amsterdam, Netherlands, 2020.
- Pyry Pyykkönen, Styliannos Ioannis Mimilakis, Konstantinos Drossos, Tuomas Virtanen, "Depthwise Separable Convolutions Versus Recurrent Neural Networks for Monaural Singing Voice Separation", in Proceedings of the 22nd IEEE International Workshop on Multimedia Signal Processing (MMSP), Tampere, Finland, 2020.
- Frank Zalkow and Meinard Müller, "Using Weakly Aligned Score–Audio Pairs to Train Deep Chroma Models for Cross-Modal Music Retrieval", in Proceedings of the 21st International Society for Music Information Retrieval Conference (ISMIR), Montréal, Canada, 2020.
2019
- Jakob Abeßer, and Meinard Müller, "Fundamental Frequency Contour Classification: A Comparison Between Hand-Crafted and CNN-Based Features", in Proceedings of the 44th International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2019), Brighton, UK, 2019.
- Stylianos I. Mimilakis, Christof Weiß, Vlora Arifi-Müller, Jakob Abeßer and Meinard Müller, "Cross-Version Singing Voice Detection in Opera Recordings: Challenges for Supervised Learning", in Proceedings of the 12th International Workshop on Machine Learning and Music (MUSML 2019), Würzburg, Germany, 2019.
- Meinard Müller, and Frank Zalkow, "FMP Notebooks: Educational Material for Teaching and Learning Fundamentals of Music Processing", Proceedings of the 20th International Society for Music Information Retrieval Conference (ISMIR), Delft, The Netherlands, 2019.
- Matthias Nowakowski, Christof Weiß, and Jakob Abeßer, "Towards Deep Learning Strategies for Transcribing Electroacoustic Music", in Proceedings of the 14th International Symposium on Computer Music Multidisciplinary Research (CMMR), Marseille, France, 2019.
- Michael Taenzer, Jakob Abeßer, Stylianos I. Mimilakis, Christof Weiß, Meinard Müller, and Hanna Lukashevich, "Investigating CNN-Based Instrument Family Recognition for Western Classical Music Recordings", Proceedings of the 20th International Society for Music Information Retrieval Conference (ISMIR), Delft, The Netherlands, 2019.
- Christof Weiß, Fabian Brand, and Meinard Müller, "Mid-Level Chord Transition Features for Musical Style Analysis", in Proceedings of the 44th nternational Conference on Acoustics, Speech, and Signal Processing (ICASSP 2019), Brighton, UK, 2019.
- Frank Zalkow, Stefan Balke, and Meinard Müller, "Evaluating Salience Representations for Cross-Modal Retrieval of Western Classical Music Recordings", in Proceedings of the 44th nternational Conference on Acoustics, Speech, and Signal Processing (ICASSP 2019), Brighton, UK, 2019.
2018
- Jakob Abeßer, Stefan Balke, and Meinard Müller, "Improving Bass Saliency Estimation using Label Propagation and Transfer Learning", in Proceedings of the 19th International Society for Music Information Retrieval Conference (ISMIR), Paris, France, 2018.
- Juan Gòmez, Jakob Abeßer, and Estefanía Cano, "Jazz Solo Instrument Classification with Convolutional Neural Networks, Source Separation, and Transfer Learning ", in Proceedings of the 19th International Society for Music Information Retrieval Conference (ISMIR), Paris, France, 2018.
- Christof Weiß, Stefan Balke, Jakob Abeßer, and Meinard Müller, "Computational Corpus Analysis: A Case Study on Jazz Solos", in Proceedings of the 19th International Society for Music Information Retrieval Conference (ISMIR), Paris, France, 2018.
Technical Reports
2020
- Konstantinos Drossos, Stylianos Ioannis Mimilakis, and Tuomas Virtanen, "Conditioned Time-Dilated Convolutions for Sound Event Detection", in arXiv ePrints:2007.05183 [cs.SD], 2020.
- Stylianos Ioannis Mimilakis, Konstantinos Drossos, and Gerald Schuller, "Revisiting Representation Learning for Singing Voice Separation with Sinkhorn Distances", in arXiv ePrints:2007.02780 [cs.SD], 2020.