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Learning Soft-Attention Models for Tempo-invariant Audio-Sheet Music Retrieval

Stefan Balke, Matthias Dorfer, Luis Carvalho, Andreas Arzt, Gerhard Widmer
2019 Zenodo  
Connecting large libraries of digitized audio recordings to their corresponding sheet music images has long been a motivation for researchers to develop new cross-modal retrieval systems.  ...  Encouraged by these results, we argue for the potential of attention models as a very general tool for many MIR tasks.  ...  "Learning Soft-Attention Models for Tempo-invariant Audio-Sheet Music Retrieval", 20th International Society for Music Information Retrieval Conference, Delft, The Netherlands, 2019.  ... 
doi:10.5281/zenodo.3527782 fatcat:ah2vco47pbge5inqtajwisopbi

Attention as a Perspective for Learning Tempo-invariant Audio Queries [article]

Matthias Dorfer, Jan Hajič Jr., Gerhard Widmer
2018 arXiv   pre-print
Current models for audio--sheet music retrieval via multimodal embedding space learning use convolutional neural networks with a fixed-size window for the input audio.  ...  Empirical results on classical piano music indicate that attention is beneficial for retrieval performance, and exhibits intuitively appealing behavior.  ...  Our experiments show that attention is indeed a promising way to obtain tempo-invariant embeddings for cross-modal retrieval.  ... 
arXiv:1809.05689v1 fatcat:vhudrngikzccpb5ayypdx4zgri

An Educational Guide through the FMP Notebooks for Teaching and Learning Fundamentals of Music Processing

Meinard Müller
2021 Signals  
, music synchronization, audio fingerprinting, music segmentation, and source separation, to name a few.  ...  This paper provides a guide through the FMP notebooks, a comprehensive collection of educational material for teaching and learning fundamentals of music processing (FMP) with a particular focus on the  ...  I want to thank the German Research Foundation (Deutsche Forschungsgemeinschaft, DFG) for the continuous support over the last decade, which allowed me to conduct fundamental research in music processing  ... 
doi:10.3390/signals2020018 doaj:1d470fbf86c24cd391bdf9d10cfb3dd2 fatcat:orfaj3gpq5hdzpozv5x4xu7bg4

Towards Context-Aware Neural Performance-Score Synchronisation [article]

Ruchit Agrawal
2022 arXiv   pre-print
Music can be represented in multiple forms, such as in the audio form as a recording of a performance, in the symbolic form as a computer readable score, or in the image form as a scan of the sheet music  ...  like music education, performance analysis, automatic accompaniment and music editing.  ...  sheet music.  ... 
arXiv:2206.00454v1 fatcat:ropvbb4vsva5xid5whtrdca3ee

Classification in music research

Claus Weihs, Uwe Ligges, Fabian Mörchen, Daniel Müllensiefen
2007 Advances in Data Analysis and Classification  
Then, we present typical solutions of such tasks related to music research, namely for organization of music collections, transcription of music signals, cognitive psychology of music, and compositional  ...  Evaluation of supervised learning is typically based on the error rates of the classification rules.  ...  We thank three unknown referees and the editors for their valuable comments.  ... 
doi:10.1007/s11634-007-0016-x fatcat:36sv5netmrh43kj2j62dtyfzwi

Signal Processing for Music Analysis

Meinard Muller, Daniel P. W. Ellis, Anssi Klapuri, Gaël Richard
2011 IEEE Journal on Selected Topics in Signal Processing  
Our goal is to demonstrate that, to be successful, music audio signal processing techniques must be informed by a deep and thorough insight into the nature of music itself.  ...  We will examine how particular characteristics of music signals impact and determine these techniques, and we highlight a number of novel music analysis and retrieval tasks that such processing makes possible  ...  His research interests include audio signal processing, auditory modeling, and machine learning.  ... 
doi:10.1109/jstsp.2011.2112333 fatcat:qvrgekkhzfdkljxn4xbrahg6hu

A Comprehensive Survey on Deep Music Generation: Multi-level Representations, Algorithms, Evaluations, and Future Directions [article]

Shulei Ji, Jing Luo, Xinyu Yang
2020 arXiv   pre-print
into audio by assigning timbre or generates music in audio format directly.  ...  Previous surveys have explored the network models employed in the field of automatic music generation.  ...  [331] also introduced a Music Ternary Modalities Dataset (MTM Dataset) containing sheet music, lyrics and music audio.  ... 
arXiv:2011.06801v1 fatcat:cixou3d2jzertlcpb7kb5x5ery

Query by humming: Automatically building the database from music recordings

Martín Rocamora, Pablo Cancela, Alvaro Pardo
2014 Pattern Recognition Letters  
Singing or humming to a music search engine is an appealing multimodal interaction paradigm, particularly for small sized portable devices that are ubiquitous nowadays.  ...  work is to overcome the main shortcoming of the existing query-by-humming (QBH) systems: their lack of scalability in terms of the difficulty of automatically extending the database of melodies from audio  ...  The authors would like to thank all the people that kindly recorded queries for the experiments.  ... 
doi:10.1016/j.patrec.2013.04.006 fatcat:xduvluvuwjh47ekjxekltrvdjm

Introduction [chapter]

2016 Music Data Analysis  
This field of business is disdigital audio (wav, mp3) digital sheet music (MIDI, abc, MusicXML) analog audio written sheet music ? 6 A/D converter D/A converter ?  ...  Transcription is transforming audio signals into sheet music, and it is in some sense the opposite of playing music from sheet music.  ...  Content analysis of musical audio signals has received increasing attention from the research community, specifically in the field of music information retrieval (MIR) [42] .  ... 
doi:10.1201/9781315370996-5 fatcat:avooqogcpnbjngqmzuonil3exq

Automatic Harmony Analysis Of Jazz Audio Recordings

Vsevolod Eremenko, Xavier Serra, Baris Bozkurt
2018 Zenodo  
The presented work makes a step toward expanding current Music Information Retrieval (MIR) approaches for Audio Chord Estimation task, which are currently biased towards rock and pop music.  ...  This thesis aims to develop a style specific approach to Automatic Chord Estimation and computer-aided harmony analysis for jazz audio recordings.  ...  The other basis for the work is Audio Chord Estimation (ACE) task in Music Information Retrieval (MIR) field [2].  ... 
doi:10.5281/zenodo.1467949 fatcat:pwy5xag4nzc4parkjbfbm33bta

Music Interpretation Analysis. A Multimodal Approach To Score-Informed Resynthesis of Piano Recordings [article]

Federico Simonetta
2022 arXiv   pre-print
For this, a novel conceptual and mathematical framework named "Music Interpretation Analysis" (MIA) is presented.  ...  This Thesis discusses the development of technologies for the automatic resynthesis of music recordings using digital synthesizers.  ...  Acknowledgments 1,2 Not many thanks should be given for this work.  ... 
arXiv:2205.00941v1 fatcat:nnbfvywdyjgtfcapfq4nn2c3bq

Music information retrieval

J. Stephen Downie
2005 Annual Review of Information Science and Technology  
Welcome friends and colleagues to the 2 nd Annual International Symposium on Music Information Retrieval -ISMIR 2001.  ...  Response to our Call for Papers was remarkable. Selecting the twenty papers for presentation (out of 40 submissions) and the eighteen posters for exhibition was no easy task.  ...  ., for sharing us the data set used in our experiments.  ... 
doi:10.1002/aris.1440370108 fatcat:5v36lrlqbjfi5fkuxw3mzjyhhe

Data-driven Pitch Content Description of Choral Singing Recordings

Helena Cuesta, Emilia Gómez
2022 Zenodo  
The second contribution is a set of deep learning models for multiple F0 estimation, streaming, and voice assignment of vocal quartets, mainly based on convolutional neural networks designed leveraging  ...  However, it has not been widely studied in the field of Music Information Retrieval (MIR), likely due to the lack of appropriate data.  ...  We wish for a bright future for research on choir music in the MIR field.  ... 
doi:10.5281/zenodo.6389643 fatcat:zibszrdivjhcnap2gzll3sbxga

Searching 100M Images by Content Similarity

Paolo Bolettieri, Fabrizio Falchi, Claudio Lucchese, Yosi Mass, Raffaele Perego, Fausto Rabitti, Michal Shmueli-Scheuer
2009 Italian Research Conference on Digital Library Management Systems  
This work focuses on the foundational aspects of content management for DLMSs by discussing a data model whose novelty is that of (i) identifying modeling primitives capable of expressing the nature of  ...  DLSs for management of metadata record catalogues, for example in standard library administration.  ...  for providing the data on which the models were tested.  ... 
dblp:conf/ircdl/BolettieriFLMPRS09 fatcat:k3n4ffi4bfbwjgyooga22rummq

The implications of Cognitive Load Theory and exposure to subtitles in English Foreign Language (EFL)

Anca Daniela Frumuselu
2018 Translation and Translanguaging in Multilingual Contexts  
The three theories that will be considered here are Cognitive Load Theory (CLT), Cognitive Theory of Multimedia Learning (CTML) and Cognitive Affective Theory of Learning with Media (CATLM).  ...  The results show that both interlingual (L1) and intralingual (L2) subtitles prove to have a facilitating role in informal and colloquial language learning in this context.  ...  To some extent, the post-viewing task sheets can function as a dynamic attention stimulus.  ... 
doi:10.1075/ttmc.00004.fru fatcat:z2en6agkrfhlvooesbdtxvuxdi
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