Searching for authors named "Jeremy Pickens" – sorted by Relevance.
11 documents found, showing 1 through 10.
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A Survey of Feature Selection Techniques for Music Information Retrieval
- …The content-based retrieval of Western music has received increasing attention recently. Much of this research deals with monophonic music. Polyphonic music is more common, but also more difficult to represent. Music information retrieval systems must extract viable features before they can define s…
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Feature Selection for Polyphonic Music Retrieval
- …INTRODUCTION The content-based retrieval of Western music has received increasing attention recently. Most of this research deals with monophonic music. Polyphonic music is more common, but much more difficult to represent [3]. Music information retrieval systems must extract viable features before…
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A Comparison of Language Modeling and Probabilistic Text Information Retrieval Approaches to Monophonic Music Retrieval
- …With interest in music information retrieval increasing the need for retrieval systems unique to music is also growing. Despite its unique properties music shares many similarities with text. The goal of this paper is to explore some of the capabilities and limitations of current text information …
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Markov Random Fields and Maximum Entropy Modeling for Music Information Retrieval
- …Music information retrieval is characterized by a number of various user information needs. Systems are being developed that allow searchers to find melodies, rhythms, genres, and singers or artists, to name but a few. At the heart of all these systems is the need to find models or measures that ans…
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A Robust Mid-level Representation for Harmonic Content in Music Signals
- …When considering the problem of audio-to-audio matching, determining musical similarity using low-level features such as Fourier transforms and MFCCs is an extremely difficult task, as there is little semantic information available. Full semantic transcription of audio is an unreliable and imperfect…
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Key-specific Shrinkage Techniques for Harmonic Models
- …this paper is on Markov models for ad hoc retrieval. In particular, we use the Harmonic Models created by [Pickens et al., 2002] as our baseline retrieval system and explain how they may be improved by better shrinkage procedures to improve parameter estimation…
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Classifier Combination For Capturing Musical Variation
- …At its heart, music information retrieval is characterized by the need to find the similarity between pieces of music. However, "similar" does not mean "the same". Therefore, techniques for approximate matching are crucial to the development of good music information retrieval systems. Yet as one in…
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An Exploratory Analysis of Phrases in Text Retrieval
- …Phrases are used in both commercial and experimental search engines. Despite the large amount of work in the area results remain mixed. It is still not clear whether phrases can be used to improve retrieval effectiveness. In this paper, we examine phrases and their properties independently of any …
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Music Modeling with Random Fields
- …this report we discuss an application of Random Fields to the problem of statistical modeling of polyphonic music. With such models in hand, the challenges of developing effective searching, browsing, and organization techniques for the growing bodies of music collections may be successfully met…
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Polyphonic score retrieval using polyphonic audio queries: A harmonic modeling approach
- …This paper extends the familiar “query by humming ” music retrieval framework into the polyphonic realm. As humming in multiple voices is quite difficult, the task is more accurately described as “query by audio example”, onto a collection of scores. To our knowledge, we are the first to use polypho…
- Cited by 23 (3 self) – Add To MetaCart
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