Channel - Session A
2-6-2022 17:38:45

Channel Videos

[A00] Data Usage in MIR History & Future Recommendations
"This paper examines the unique issues of data access that MIR has faced over the last 20 years. We explore datasets used in ISMIR papers, examine the evolution of data access over time, and offer three proposals to increase equity of access to data."
presenter ISMIR2019
5-11-2019 08:15:00
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[A01] Zero-shot Learning for Audio-based Music Classification and Tagging
Investigated the paradigm of zero-shot learning applied to music domain. Organized 2 side information setups for music calssification task. Proposed a data split scheme and associated evaluation settings for the multi-label zero-shot learning.
presenter ISMIR2019
5-11-2019 08:20:00
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[A02] Learning Notation Graph Construction for Full-Pipeline Optical Music Recognition
"An Optical Music Recognition system must infer the relationships between detected symbols to understand the semantics of a music score. This notation assembly stage is formulated as a machine learning problem and solved using deep learning."
presenter ISMIR2019
5-11-2019 08:25:00
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[A03] An Attention Mechanism for Musical Instrument Recognition
"Instrument recognition in multi-instrument recordings is formulated as a multi-instance multi-label classification problem. We train a model on the weakly labeled OpenMIC dataset using an attention mechanism to aggregate predictions over time."
presenter ISMIR2019
5-11-2019 08:30:00
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[A04] MIDI-Sheet Music Alignment Using Bootleg Score Synthesis
"We propose a mid-level representation called a bootleg score representation which enables alignment between sheet music images and MIDI."
presenter ISMIR2019
5-11-2019 08:35:00
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[A05] mirdata: Software for Reproducible Usage of Datasets
The lack of a standardized way to access and load commonly used datasets is a hurdle towards accelerated and reproducible research. To mitigate this, we present a tool for easy access to data and means to check the integrity of a dataset."
presenter ISMIR2019
5-11-2019 08:40:00
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[A06] Cover Detection with Dominant Melody Embeddings
We propose a cover detection method based on vector embedding extraction out of audio dominant melody. This architecture improves state-of-the-art accuracy on large datasets, and scales to query collections of thousands of tracks in a few seconds.
presenter ISMIR2019
5-11-2019 08:45:00
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[A07] Indentifying expressive semantics in orchestral conducting kinematics
presenter ISMIR2019
5-11-2019 08:50:00
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[A08] The RomanText Format: A Flexible and Standard Method for Representing Roman Numerial Analyses
"We provide a technical standard, converter code and example corpora for Roman-numeral analysis, enabling a range of computational, musical, and pedagogical use cases."
presenter ISMIR2019
5-11-2019 08:55:00
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[A09] 20 Years of playlists: A Statistical Analysis on Popularity and Diversity
"We find extremely valuable to compare playlist datasets generated in different contexts, as it allows to understand how changes in the listening experience are affecting playlist creation strategies."
presenter ISMIR2019
5-11-2019 09:00:00
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[A10] Indentification and cross-document alignment of measures in music score images
presenter ISMIR2019
5-11-2019 09:05:00
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[A11] Query-by-Bleding: A Music Exploration System Blending Latent Vector Representations of Lyric World, Song Audio, and Artist
presenter ISMIR2019
5-11-2019 09:10:00
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[A12] Improving Structure Evaluation Through Automatic Hierarchy Expansion
"We propose a method to expose latent hierarchical content in structural segmentation labels. This results in more accurate comparisons between multi-level segmentations."
presenter ISMIR2019
5-11-2019 09:15:00
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[A13] Conditioned-U-Net: Introducing a Control Mechanism in the U-Net for Multiple Source Separations
"In this paper, we apply conditioning learning to source separation and introduce a control mechanism to the standard U-Net architecture. The control mechanism allows multiple instrument separations with just one model without losing performance."
presenter ISMIR2019
5-11-2019 09:20:00
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[A14] An inital computational model for music schemata theory
"This paper presents a novel classifier for short polyphonic passages in Classical works that performs musical schemata recognition and prototype extraction with the utilisation of high-level musical constructs and similarity functions."
presenter ISMIR2019
5-11-2019 09:25:00
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