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<h2>Published Works</h2>
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<p>
This webpage lists the publications from the ISAD project. We provide a collection of BibTeX entries for all these publications for downloading.
<a href="references_isad.bib">
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<!-- Journal Articles -->
<h1>Journal Articles</h1>
<h2 class="section-heading">2021</h2>
<br>
<ul>
<li>
<em> Michael Krause, Meinard Müller, and Christof Weiß,
<a href="https://www.mdpi.com/2079-9292/10/10/1214/">"Singing voice detection in opera recordings: A case study on robustness and generalization"</a>,
Electronics, 10(10), 1214, 2021. </em>
</li>
<br>
<li>
<em> Michael Taenzer, Stylianos Ioannis Mimilakis, and Jakob Abeßer,
<a href="https://www.mdpi.com/2079-9292/10/7/851/">"Informing Piano Multi-Pitch Estimation with Inferred Local Polyphony Based on Convolutional Neural Networks"</a>,
Electronics, 10(7), 851, 2021. </em>
</li>
<br>
<li>
<em> Jakob Abeßer and Meinard Müller,
<a href="https://www.mdpi.com/2079-9292/10/6/670">"Jazz Bass Transcription Using a U-Net Architecture"</a>,
Electronics, 10(6), 670, 2021. </em>
</li>
<br>
<li>
<em> Frank Zalkow and Meinard Müller,
<a href="https://ieeexplore.ieee.org/document/9531521">"CTC-Based Learning of Chroma Features for Score–Audio Music Retrieval"</a>,
IEEE/ACM Transactions on Audio, Speech, and Language Processing (TASLP), 29, 2021. </em>
<a href="https://www.audiolabs-erlangen.de/resources/MIR/2021_TASLP-ctc-chroma">
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<h2 class="section-heading">2020</h2>
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<li>
<em> Jakob Abeßer,
<a href="https://www.mdpi.com/2076-3417/10/6/2020">"A Review of Deep Learning Based Methods for Acoustic Scene Classification"</a>,
Applied Sciences, 10(6), 2020. </em>
</li>
<br>
<li>
<em> Frank Zalkow and Meinard Müller,
<a href="https://www.mdpi.com/2076-3417/10/1/19">"Learning Low-Dimensional Embeddings of Audio Shingles for Cross-Version Retrieval of Classical Music"</a>,
Applied Sciences, 10(1), 2020. </em>
</li>
<br>
<li>
<em> Frank Zalkow, Stefan Balke, Vlora Arifi-Müller, and Meinard Müller,
<a href="https://www.audiolabs-erlangen.de/resources/MIR/MTD">"MTD: A multimodal dataset of musical themes for MIR research"</a>,
Transactions of the International Society for Music Information Retrieval (TISMIR), 3(1), 180-192, 2020. </em>
</li>
<br>
</ul>
<h2 class="section-heading">2019</h2>
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<li>
<em> Stylianos I. Mimilakis, Konstantinos Drossos, Estefanía Cano, and Gerald Schuller,
<a href="https://arxiv.org/pdf/1904.06157v2.pdf">"Examining the Mapping Functions of Denoising Autoencoders in Singing Voice Separation"</a>,
to appear in IEEE/ACM Transactions on Audio, Speech, and Language Processing (TASLP). </em>
<a href="https://github.com/Js-Mim/nca_mss">
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<!-- Conference Publications -->
<h1>Conference Publications</h1>
<h2 class="section-heading">2020</h2>
<br>
<ul>
<li>
<em> Alexandra Draghici and Jakob Abeßer and Hanna Lukashevich,
<a href="https://www.researchgate.net/publication/343349897_A_Study_on_Spoken_Language_Identification_using_Deep_Neural_Networks">"A Study on Spoken Language Identification using Deep Neural Networks"</a>,
in Proceedings of the 15th Audio Mostly Conference (AM'20), Graz, Austria, 2020.</em>
</li>
<br>
<li>
<em> Konstantinos Drossos, Stylianos Ioannis Mimilakis, Shayan Gharib, Yanxiong Li, and Tuomas Virtanen,
<a href="https://arxiv.org/pdf/2002.00476">"Sound Event Detection with Depthwise Separable and Dilated Convolutions"</a>,
in Proceedings of the 2020 IEEE International Joint Conference on Neural Networks (IJCNN), Glasgow, Scotland (UK), 2020.</em>
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<li>
<em>Michael Krause, Frank Zalkow, Julia Zalkow, Christof Weiß, and Meinard Müller,
<a href="">"Classifying Leitmotifs in Recordings of Operas by Richard Wagner"</a>,
in Proceedings of the 21st International Society for Music Information Retrieval Conference (ISMIR), Montréal, Canada, 2020.</em>
<a href="https://www.audiolabs-erlangen.de/resources/MIR/2020-ISMIR-LeitmotifClassification">
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<li>
<em>Stylianos Ioannis Mimilakis, Konstantinos Drossos, and Gerald Schuller,
<a href="https://arxiv.org/pdf/2003.01567">"Unsupervised Interpretable Representation Learning for Singing Voice Separation"</a>,
in Proceedings of the 27th European Signal Processing Conference (EUSIPCO 2020), Amsterdam, Netherlands, 2020.</em>
<a href="https://github.com/Js-Mim/rl_singing_voice">
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<li>
<em> Pyry Pyykkönen, Styliannos Ioannis Mimilakis, Konstantinos Drossos, Tuomas Virtanen,
<a href="https://arxiv.org/pdf/2007.02683">"Depthwise Separable Convolutions Versus Recurrent Neural Networks for Monaural Singing Voice Separation"</a>,
in Proceedings of the 22nd IEEE International Workshop on Multimedia Signal Processing (MMSP), Tampere, Finland, 2020.</em>
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<li>
<em> Frank Zalkow and Meinard Müller,
<a href="">"Using Weakly Aligned Score–Audio Pairs to Train Deep Chroma Models for Cross-Modal Music Retrieval"</a>,
in Proceedings of the 21st International Society for Music Information Retrieval Conference (ISMIR), Montréal, Canada, 2020.</em>
<a href="https://www.audiolabs-erlangen.de/resources/MIR/2020-ISMIR-ctc-chroma">
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</ul>
<h2 class="section-heading">2019</h2>
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<ul>
<li>
<em> Jakob Abeßer, and Meinard Müller,
<a
href="https://www.researchgate.net/profile/Jakob_Abesser/publication/330967945_Fundamental_Frequency_Contour_Classification_A_Comparison_between_Hand-Crafted_and_CNN-Based_Features/links/5c6e735e92851c1c9df1b134/Fundamental-Frequency-Contour-Classification-A-Comparison-between-Hand-Crafted-and-CNN-Based-Features.pdf">"Fundamental
Frequency Contour Classification: A Comparison Between Hand-Crafted and CNN-Based Features"</a>,
in Proceedings of the 44th International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2019), Brighton, UK, 2019. </em>
<a href="https://github.com/dfg-isad/icassp_2019_f0_contours">
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<li>
<em> Stylianos I. Mimilakis, Christof Weiß, Vlora Arifi-Müller, Jakob Abeßer and Meinard Müller,
<a href="https://musml2019.weebly.com/programme.html">"Cross-Version Singing Voice Detection in Opera Recordings: Challenges for Supervised Learning"</a>,
in Proceedings of the 12th International Workshop on Machine Learning and Music (MUSML 2019), Würzburg, Germany, 2019.</em>
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<li>
<em> Meinard Müller, and Frank Zalkow,
<a href="http://archives.ismir.net/ismir2019/paper/000069.pdf">"FMP Notebooks: Educational Material for Teaching and Learning Fundamentals of Music Processing"</a>,
Proceedings of the 20th International Society for Music Information Retrieval Conference (ISMIR), Delft, The Netherlands, 2019. </em>
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<em> Matthias Nowakowski, Christof Weiß, and Jakob Abeßer,
<a href="https://www.researchgate.net/publication/336563543_Towards_Deep_Learning_Strategies_for_Transcribing_Electroacoustic_Music">"Towards Deep Learning Strategies for Transcribing Electroacoustic Music"</a>,
in Proceedings of the 14th International Symposium on Computer Music Multidisciplinary Research (CMMR), Marseille, France, 2019. </em>
</li>
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<li>
<em> Michael Taenzer, Jakob Abeßer, Stylianos I. Mimilakis, Christof Weiß, Meinard Müller, and Hanna Lukashevich,
<a href="http://archives.ismir.net/ismir2019/paper/000074.pdf">"Investigating CNN-Based Instrument Family Recognition for Western Classical Music Recordings"</a>,
Proceedings of the 20th International Society for Music Information Retrieval Conference (ISMIR), Delft, The Netherlands, 2019. </em>
</li>
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<li>
<em> Christof Weiß, Fabian Brand, and Meinard Müller,
<a href="https://doi.org/10.1109/ICASSP.2019.8682293">"Mid-Level Chord Transition Features for Musical Style Analysis"</a>,
in Proceedings of the 44th nternational Conference on Acoustics, Speech, and Signal Processing (ICASSP 2019), Brighton, UK, 2019. </em>
</li>
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<li>
<em> Frank Zalkow, Stefan Balke, and Meinard Müller,
<a href="https://doi.org/10.1109/ICASSP.2019.8683609">"Evaluating Salience Representations for Cross-Modal Retrieval of Western Classical Music Recordings"</a>,
in Proceedings of the 44th nternational Conference on Acoustics, Speech, and Signal Processing (ICASSP 2019), Brighton, UK, 2019. </em>
<a href="https://www.audiolabs-erlangen.de/resources/MIR/2019-ICASSP-BarlowMorgenstern">
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<h2 class="section-heading">2018</h2>
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<li>
<em> Jakob Abeßer, Stefan Balke, and Meinard Müller,
<a href="http://ismir2018.ircam.fr/doc/pdfs/143_Paper.pdf">"Improving Bass Saliency Estimation using Label Propagation and Transfer Learning"</a>,
in Proceedings of the 19th International Society for Music Information Retrieval Conference (ISMIR), Paris, France, 2018. </em>
</li>
<br>
<li>
<em> Juan Gòmez, Jakob Abeßer, and Estefanía Cano,
<a href="http://ismir2018.ircam.fr/doc/pdfs/145_Paper.pdf">"Jazz Solo Instrument Classification with Convolutional Neural Networks, Source Separation, and Transfer Learning "</a>,
in Proceedings of the 19th International Society for Music Information Retrieval Conference (ISMIR), Paris, France, 2018. </em>
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<em> Christof Weiß, Stefan Balke, Jakob Abeßer, and Meinard Müller,
<a href="http://ismir2018.ircam.fr/doc/pdfs/23_Paper.pdf">"Computational Corpus Analysis: A Case Study on Jazz Solos"</a>,
in Proceedings of the 19th International Society for Music Information Retrieval Conference (ISMIR), Paris, France, 2018. </em>
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<!-- Technical Reports -->
<h1>Technical Reports</h1>
<h2 class="section-heading">2020</h2>
<br>
<ul>
<li>
<em>Konstantinos Drossos, Stylianos Ioannis Mimilakis, and Tuomas Virtanen,
<a href="https://arxiv.org/pdf/2007.05183">"Conditioned Time-Dilated Convolutions for Sound Event Detection"</a>,
in arXiv ePrints:2007.05183 [cs.SD], 2020.</em>
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<li>
<em>Stylianos Ioannis Mimilakis, Konstantinos Drossos, and Gerald Schuller,
<a href="https://arxiv.org/pdf/2007.02780">"Revisiting Representation Learning for Singing Voice Separation with Sinkhorn Distances"</a>,
in arXiv ePrints:2007.02780 [cs.SD], 2020.</em>
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