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Roadmap for Music Information ReSearch
Xavier Serra,Michela Magas,Emmanouil Benetos,Magdalena Chudy,Simon Dixon,Arthur Flexer,Emilia Gómez,Fabien Gouyon,Perfecto Herrera,Sergi Jordà,Oscar Paytuvi,Geoffroy Peeters,Jan Schlüter,Hugues Vinet,Gerhard Widmer +14 more
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The article was published on 2013-01-01 and is currently open access. It has received 67 citations till now.read more
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Journal ArticleDOI
Automatic music transcription: challenges and future directions
TL;DR: Limits of current transcription methods are analyzed and promising directions for future research are identified, including the integration of information from multiple algorithms and different musical aspects.
Book
Music Information Retrieval: Recent Developments and Applications
TL;DR: A survey of the field of Music Information Retrieval, in particular paying attention to latest developments, such as semantic auto-tagging and user-centric retrieval and recommendation approaches, is provided.
Journal ArticleDOI
A Simple Method to Determine if a Music Information Retrieval System is a "Horse"
TL;DR: A simple method is proposed and demonstrated to explain the figure of merit (FoM) of a music information retrieval system evaluated in a dataset, specifically, whether the FoM comes from the system using characteristics confounded with the “ground truth” of the dataset.
Proceedings Article
Joint Beat and Downbeat Tracking with Recurrent Neural Networks.
TL;DR: A recurrent neural network operating directly on magnitude spectrograms is used to model the metrical structure of the audio signals at multiple levels and provides an output feature that clearly distinguishes between beats and downbeats.
Journal ArticleDOI
The State of the Art Ten Years After a State of the Art: Future Research in Music Information Retrieval
TL;DR: A case study of all published research using the most-used benchmark dataset in MGR during the past decade shows that none of the evaluations in these many works is valid to produce conclusions with respect to recognizing genre, i.e. that a system is using criteria relevant for recognizing genre.
References
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Book
Theory of elasticity
TL;DR: The theory of the slipline field is used in this article to solve the problem of stable and non-stressed problems in plane strains in a plane-strain scenario.
Journal ArticleDOI
Indexing by Latent Semantic Analysis
TL;DR: A new method for automatic indexing and retrieval to take advantage of implicit higher-order structure in the association of terms with documents (“semantic structure”) in order to improve the detection of relevant documents on the basis of terms found in queries.
Proceedings ArticleDOI
Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories
TL;DR: This paper presents a method for recognizing scene categories based on approximate global geometric correspondence that exceeds the state of the art on the Caltech-101 database and achieves high accuracy on a large database of fifteen natural scene categories.
Book
Emotional design : why we love (or hate) everyday things
TL;DR: In this paper, the authors make the connection between our emotions and how we relate to ordinary objects, from juicers to Jaguars, and argue that design experts have vastly underestimated the role of emotion on our experience of everyday objects.
Book
The Wisdom of Crowds: Why the Many Are Smarter Than the Few and How Collective Wisdom Shapes Business, Economies, Societies and Nations
TL;DR: Surowiecki explores a seemingly counter-intuitive idea that has profound implications as mentioned in this paper : Decisions taken by a large group, even if the individuals within the group aren't smart, are always better than decisions made by small numbers of 'experts'.