11/10/2020
BebopNet: Deep Neural Models for Personalized Jazz Improvisations
Shunit Haviv Hakimi, Nadav Bhonker, Ran El-Yaniv
Keywords Paper
Domain knowledge, Machine learning/Artificial intelligence for music, Applications, Music composition, performance, and production, Human-centered MIR, Personalization
0
0
0
0
4:08
11/10/2020
Attributes-aware Deep Music Transformation
Lisa Kawai, Philippe Esling, Tatsuya Harada
Keywords Paper
Musical features and properties, Musical style and genre, Applications, Music composition, performance, and production, MIR fundamentals and methodology, Metadata, tags, linked data, and semantic web, Symbolic music processing, Harmony, chords, and tonality
0
0
0
0
4:08
11/10/2020
Microtask Crowdsourcing for Music Score Transcriptions: an Experiment with Error Detection
Ioannis Petros Samiotis, Sihang Qiu, Andrea Mauri and
Keywords Paper
Domain knowledge, Representations of music, Evaluation, datasets, and reproducibility, Annotation protocols, Human-centered MIR, Human-computer interaction and interfaces, MIR fundamentals and methodology, Multimodality, MIR tasks, Music transcription and annotation, Optical Music Recognition (OMR)
0
0
0
0
4:23
11/10/2020
The MIDI Degradation Toolkit: Symbolic Music Augmentation and Correction
Andrew McLeod, James Owers, Kazuyoshi Yoshii
Keywords Paper
Evaluation, datasets, and reproducibility, Novel datasets and use cases, MIR fundamentals and methodology, Symbolic music processing, MIR tasks, Music transcription and annotation
0
0
0
0
4:07
11/10/2020
Polyphonic Piano Transcription Using Autoregressive Multi-state Note Model
Taegyun Kwon, Dasaem Jeong, Juhan Nam
Keywords Paper
MIR tasks, Music transcription and annotation, Applications, Music composition, performance, and production, Music retrieval systems, MIR fundamentals and methodology, Music signal processing
0
0
0
0
4:11
11/10/2020
Data Cleansing with Contrastive Learning for Vocal Note Event Annotations
Gabriel Meseguer Brocal, Rachel Bittner, Simon Durand, Brian Brost
Keywords Paper
Domain knowledge, Machine learning/Artificial intelligence for music, Evaluation, datasets, and reproducibility, Novel datasets and use cases, MIR tasks, Music transcription and annotation
0
0
0
0
3:51
11/10/2020
Multiple F0 Estimation in Vocal Ensembles Using Convolutional Neural Networks
Helena Cuesta, Brian McFee, Emilia Gomez
Keywords Paper
MIR tasks, Music transcription and annotation, MIR fundamentals and methodology, Music signal processing, Musical features and properties, Melody and motives
0
0
0
0
4:07
11/10/2020
SuPP & MaPP: Adaptable Structure-based Representations for MIR Tasks
Claire Savard, Erin H Bugbee, Melissa R McGuirl, Katherine M. Kinnaird
Keywords Paper
Domain knowledge, Representations of music, Evaluation, datasets, and reproducibility, MIR tasks, Fingerprinting, Pattern matching and detection, Similarity metrics, Musical features and properties, Structure, segmentation, and form
0
0
0
0
4:07
11/10/2020
A Combination of Local Approaches for Hierarchical Music Genre Classification
Antonio R. Parmezan, Diego Furtado Silva, Gustavo Batista
Keywords Paper
MIR tasks, Automatic classification, Domain knowledge, Machine learning/Artificial intelligence for music, MIR fundamentals and methodology, Music signal processing, Musical features and properties, Musical style and genre
0
0
0
0
4:30
11/10/2020
A Deep Learning Based Analysis-synthesis Framework for Unison Singing
Pritish Chandna, Helena Cuesta, Emilia Gomez
Keywords Paper
MIR tasks, Music synthesis and transformation, Applications, Music retrieval systems, Evaluation, datasets, and reproducibility, Human-centered MIR, User-centered evaluation, Musical features and properties, Expression and performative aspects of music
0
0
0
0
4:06
11/10/2020
Multidimensional Similarity Modelling of Complex Drum Loops Using the GrooveToolbox
Fred Bruford, Olivier Lartillot, SKoT McDonald, Mark B. Sandler
Keywords Paper
Musical features and properties, Rhythm, beat, tempo, Applications, Music retrieval systems, Evaluation, datasets, and reproducibility, Novel datasets and use cases, Human-centered MIR, Personalization, MIR fundamentals and methodology, Symbolic music processing, MIR tasks, Similarity metrics
0
0
0
0
3:43
11/10/2020
Semantically Meaningful Attributes from Co-listen Embeddings for Playlist Exploration and Expansion
Ayush Patwari, Nicholas Kong, Jun Wang and
Keywords Paper
Applications, Music recommendation and playlist generation, MIR tasks, Automatic classification, Musical features and properties, Musical affect, emotion, and mood
0
0
0
0
4:00
11/10/2020
Classifying Leitmotifs in Recordings of Operas by Richard Wagner
Michael Krause, Frank Zalkow, Julia Zalkow and
Keywords Paper
MIR tasks, Automatic classification, Applications, Music retrieval systems, Domain knowledge, Machine learning/Artificial intelligence for music, Evaluation, datasets, and reproducibility, Novel datasets and use cases, Pattern matching and detection, Musical features and properties, Melody and motives
0
0
0
0
3:55
11/10/2020
Deconstruct, Analyse, Reconstruct: How to Improve Tempo, Beat, and Downbeat Estimation
Sebastian Böck, Matthew Davies
Keywords Paper
Musical features and properties, Rhythm, beat, tempo, Domain knowledge, Machine learning/Artificial intelligence for music, MIR fundamentals and methodology, Music signal processing, MIR tasks, Automatic classification
0
0
0
0
3:39
11/10/2020
Female Artist Representation in Music Streaming
Avriel C Epps-Darling, Henriette Cramer, Romain Takeo Bouyer
Keywords Paper
Philosophical and ethical discussions, Ethical issues related to designing and implementing MIR to, Applications, Music recommendation and playlist generation, Human-centered MIR, Human-computer interaction and interfaces, User behavior analysis and mining, user modeling, MIR fundamentals and methodology, Metadata, tags, linked data, and semantic web
0
0
0
0
4:06
11/10/2020
Content Based Singing Voice Source Separation via Strong Conditioning Using Aligned Phonemes
Gabriel Meseguer Brocal, Geoffroy Peeters
Keywords Paper
MIR tasks, Sound source separation, Evaluation, datasets, and reproducibility, Novel datasets and use cases, MIR fundamentals and methodology, Lyrics and other textual data, web mining, and natural language processing, Multimodality
0
0
0
0
4:08
11/10/2020
Learning to Denoise Historical Music
Yunpeng Li, Marco Tagliasacchi, Beat Gfeller, Dominik Roblek
Keywords Paper
Domain knowledge, Machine learning/Artificial intelligence for music, Applications, Digital libraries and archives, MIR fundamentals and methodology, Music signal processing, MIR tasks, Music synthesis and transformation
0
0
0
0
4:15
11/10/2020
Rule Mining for Local Boundary Detection in Melodies
Peter Van Kranenburg
Keywords Paper
Musical features and properties, Structure, segmentation, and form, Domain knowledge, Computational music theory and musicology, Machine learning/Artificial intelligence for music, Evaluation, datasets, and reproducibility, MIR tasks, MIR fundamentals and methodology, Symbolic music processing, Melody and motives
0
0
0
0
4:06
11/10/2020
A Method for Analysis of Shared Structure in Large Music Collections Using Techniques from Genetic Sequencing and Graph Theory
Florian Thalmann, Kazuyoshi Yoshii, Thomas Wilmering and
Keywords Paper
Musical features and properties, Structure, segmentation, and form, Domain knowledge, Computational music theory and musicology, Representations of music, MIR tasks, Pattern matching and detection, Harmony, chords, and tonality
0
0
0
0
4:43
11/10/2020
Learning to Read and Follow Music in Complete Score Sheet Images
Florian Henkel, Rainer Kelz, Gerhard Widmer
Keywords Paper
MIR tasks, Alignment, synchronization, and score following, Domain knowledge, Machine learning/Artificial intelligence for music, MIR fundamentals and methodology, Multimodality
0
0
0
0
4:08
11/10/2020
Asap: a Dataset of Aligned Scores and Performances for Piano Transcription
Francesco Foscarin, Andrew McLeod, Philippe Rigaux and
Keywords Paper
Evaluation, datasets, and reproducibility, Novel datasets and use cases, Annotation protocols, MIR tasks, Music transcription and annotation
0
0
0
0
3:27
11/10/2020
Uncovering Audio Patterns in Music with Nonnegative Tucker Decomposition for Structural Segmentation
Axel Marmoret, Jeremy Cohen, Frédéric Bimbot, Nancy Bertin
Keywords Paper
MIR fundamentals and methodology, Music signal processing, Musical features and properties, Structure, segmentation, and form
0
0
0
0
4:02
11/10/2020
Conlon: a Pseudo-song Generator Based on a New Pianoroll, Wasserstein Autoencoders, and Optimal Interpolations
Luca Angioloni, Valentijn Borghuis, Lorenzo Brusci, Paolo Frasconi
Keywords Paper
Domain knowledge, Machine learning/Artificial intelligence for music, Applications, Music composition, performance, and production
0
0
0
0
4:09
11/10/2020
Mode Classification and Natural Units in Plainchant
Bas Cornelissen, Willem Zuidema, John Ashley Burgoyne
Keywords Paper
Musical features and properties, Melody and motives, Domain knowledge, Computational music theory and musicology, Harmony, chords, and tonality, Structure, segmentation, and form
0
0
0
0
4:08
11/10/2020
Downbeat Tracking with Tempo Invariant Convolutional Neural Networks
Bruno Di Giorgi, Matthias Mauch, Mark Levy
Keywords Paper
Domain knowledge, Machine learning/Artificial intelligence for music, MIR tasks, Music transcription and annotation, Musical features and properties, Rhythm, beat, tempo
0
0
0
0
3:55
11/10/2020
Modelling Hierarchical Key Structure with Pitch Scapes
Robert Lieck, Martin Rohrmeier
Keywords Paper
Domain knowledge, Machine learning/Artificial intelligence for music, Computational music theory and musicology, Representations of music, MIR tasks, Automatic classification, Musical features and properties, Harmony, chords, and tonality, Structure, segmentation, and form
0
0
0
0
3:21
11/10/2020
Composer Style Classification of Piano Sheet Music Images Using Language Model Pretraining
Timothy Tsai, Kevin Ji
Keywords Paper
Musical features and properties, Musical style and genre, Domain knowledge, Machine learning/Artificial intelligence for music, Representations of music, MIR fundamentals and methodology, Symbolic music processing, MIR tasks, Automatic classification
0
0
0
0
4:00
11/10/2020
Learning Interpretable Representation for Controllable Polyphonic Music Generation
Ziyu Wang, Dingsu Wang, Yixiao Zhang, Gus Xia
Keywords Paper
Applications, Music composition, performance, and production, Domain knowledge, Machine learning/Artificial intelligence for music, Representations of music, MIR fundamentals and methodology, Symbolic music processing
0
0
0
0
4:07
11/10/2020
Bistate Reduction and Comparison of Drum Patterns
Olivier Lartillot, Fred Bruford
Keywords Paper
Musical features and properties, Rhythm, beat, tempo, Domain knowledge, Computational music theory and musicology, Representations of music, MIR fundamentals and methodology, Symbolic music processing, MIR tasks, Similarity metrics
0
0
0
0
4:09
