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Titlebook: Exploring Music Contents; 7th International Sy S?lvi Ystad,Mitsuko Aramaki,Kristoffer Jensen Conference proceedings 2011 Springer-Verlag Gm

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發(fā)表于 2025-3-21 18:45:48 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Exploring Music Contents
副標(biāo)題7th International Sy
編輯S?lvi Ystad,Mitsuko Aramaki,Kristoffer Jensen
視頻videohttp://file.papertrans.cn/320/319544/319544.mp4
概述Up-to-date results.Fast-track conference proceedings.State-of-the-art research
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Exploring Music Contents; 7th International Sy S?lvi Ystad,Mitsuko Aramaki,Kristoffer Jensen Conference proceedings 2011 Springer-Verlag Gm
描述This book constitutes the thoroughly refereed post-proceedings of the 7th International Symposium on Computer Music Modeling and Retrieval, CMMR 2010, held in Málaga, Spain, in June 2010. The 22 revised full papers presented were specially reviewed and revised for inclusion in this proceedings volume. The book is divided in five main chapters which reflect the present challenges within the field of computer music modeling and retrieval. The chapters range from music interaction, composition tools and sound source separation to data mining and music libraries. One chapter is also dedicated to perceptual and cognitive aspects that are currently subject to increased interest in the MIR community.
出版日期Conference proceedings 2011
關(guān)鍵詞audio data processing; computational musicology; computer music generation; melodic similarity recognit
版次1
doihttps://doi.org/10.1007/978-3-642-23126-1
isbn_softcover978-3-642-23125-4
isbn_ebook978-3-642-23126-1Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag GmbH Berlin Heidelberg 2011
The information of publication is updating

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發(fā)表于 2025-3-21 21:10:33 | 只看該作者
Interactive Music Applications and Standardsbuted as games for gaming consoles and applications for mobile devices that currently use proprietary file formats, but standardization orgranizations have been working to develop an interchangeable format. This paper surveys the applications and their requirements. It then reviews the current stand
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Transcription of Musical Audio Using Poisson Point Processes and Sequential MCMCse into the frequency domain, where a Poisson point process model is used to write a polyphonic pitch likelihood function. From here Bayesian priors are incorporated both over time (to link successive frames) and also within frames (to model the number of notes present, their pitches, the number of
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Notes on Nonnegative Tensor Factorization of the Spectrogram for Audio Source Separation: Statisticarforming blind source separation (BSS) of multichannel audio data. In this paper we investigate the statistical source models implied by this approach. We show that it implicitly assumes a nonpoint-source model contrasting with usual BSS assumptions and we clarify the links between the measure of fi
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發(fā)表于 2025-3-23 01:53:11 | 只看該作者
What Signal Processing Can Do for the Musicnot only the audio files but also the scores. Using advanced signal processing techniques, we have developed new tools that will help us handling music information, preserve, develop and disseminate our cultural music assets and improve our learning and education systems.
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