Music information retrieval
901 resources related to Music information retrieval
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ISIE focuses on advancements in knowledge, new methods, and technologies relevant to industrial electronics, along with their applications and future developments.
The International Conference on Consumer Electronics (ICCE) is soliciting technical papersfor oral and poster presentation at ICCE 2018. ICCE has a strong conference history coupledwith a tradition of attracting leading authors and delegates from around the world.Papers reporting new developments in all areas of consumer electronics are invited. Topics around the major theme will be the content ofspecial sessions and tutorials.
Multimedia technologies, systems and applications for both research and development of communications, circuits and systems, computer, and signal processing communities.
2020 IEEE International Symposium on Circuits and Systems (ISCAS)
The International Symposium on Circuits and Systems (ISCAS) is the flagship conference of the IEEE Circuits and Systems (CAS) Society and the world’s premier networking and exchange forum for researchers in the highly active fields of theory, design and implementation of circuits and systems. ISCAS2020 focuses on the deployment of CASS knowledge towards Society Grand Challenges and highlights the strong foundation in methodology and the integration of multidisciplinary approaches which are the distinctive features of CAS contributions. The worldwide CAS community is exploiting such CASS knowledge to change the way in which devices and circuits are understood, optimized, and leveraged in a variety of systems and applications.
The ICASSP meeting is the world's largest and most comprehensive technical conference focused on signal processing and its applications. The conference will feature world-class speakers, tutorials, exhibits, and over 50 lecture and poster sessions.
Speech analysis, synthesis, coding speech recognition, speaker recognition, language modeling, speech production and perception, speech enhancement. In audio, transducers, room acoustics, active sound control, human audition, analysis/synthesis/coding of music, and consumer audio. (8) (IEEE Guide for Authors) The scope for the proposed transactions includes SPEECH PROCESSING - Transmission and storage of Speech signals; speech coding; speech enhancement and noise reduction; ...
Broad coverage of concepts and methods of the physical and engineering sciences applied in biology and medicine, ranging from formalized mathematical theory through experimental science and technological development to practical clinical applications.
IEEE Communications Magazine was the number three most-cited journal in telecommunications and the number eighteen cited journal in electrical and electronics engineering in 2004, according to the annual Journal Citation Report (2004 edition) published by the Institute for Scientific Information. Read more at http://www.ieee.org/products/citations.html. This magazine covers all areas of communications such as lightwave telecommunications, high-speed data communications, personal communications ...
Computer, the flagship publication of the IEEE Computer Society, publishes peer-reviewed technical content that covers all aspects of computer science, computer engineering, technology, and applications. Computer is a resource that practitioners, researchers, and managers can rely on to provide timely information about current research developments, trends, best practices, and changes in the profession.
IEEE Computer Graphics and Applications (CG&A) bridges the theory and practice of computer graphics. From specific algorithms to full system implementations, CG&A offers a strong combination of peer-reviewed feature articles and refereed departments, including news and product announcements. Special Applications sidebars relate research stories to commercial development. Cover stories focus on creative applications of the technology by an artist or ...
IEEE Transactions on Audio, Speech, and Language Processing, 2013
To assess the performance of an automatic chord estimation system, reference annotations are indispensable. However, owing to the complexity of music and the sometimes ambiguous harmonic structure of polyphonic music, chord annotations are inherently subjective, and as a result any derived accuracy estimates will be subjective as well. In this paper, we investigate the extent of the confounding effect of ...
2007 4th IEEE Consumer Communications and Networking Conference, 2007
Proceedings of the 2004 Joint ACM/IEEE Conference on Digital Libraries, 2004., 2004
The Chopin Early Editions (CEE) music digital library (MDL), housed and created by The University of Chicago Library, is a collection of approximately 400 first and early edition music scores by the composer Frederic Chopin. Published between 1830 and 1880, these scores provide an important resource for studying Chopin's publishing history, and include many examples of works published concurrently in ...
IEEE Workshop on Automatic Speech Recognition and Understanding, 2005., 2005
Summary form only given. The problem of reliable speech recognition for information retrieval is a challenging problem when data is recorded across different media, known/unknown equipment, and different speaking environments. In this talk, we consider problems in audio stream phrase recognition for spoken document retrieval from audio materials spanning the past 110 years. When considering audio transcription for SDR, what ...
Proceedings. IEEE International Conference on Multimedia Computing and Systems (Cat. No.98TB100241), 1998
Despite growing interest in multimedia data management, audio retrieval has received little attention. In part, this can be attributed to existing unstructured audio representations that do not easily lend themselves to content based retrieval and especially browsing. This paper aims to address this oversight. It begins by reviewing existing techniques and the specific problems posed by unstructured representations. Some characteristics ...
The role of aggregation guided by fuzzy quantifiers in Information Retrieval and in Social Media Analytics
Array storing and retrieval
My Computer Speaks Colors! Fuzzy Color Spaces for Image Understanding, Description and Retrieval
Fuzzy and Soft Methods for Multi-Criteria Decision Making - Ronald R Yager - WCCI 2016
Phase Retrieval with Application to Optical Imaging
The Autonomous City Explorer (ACE) Project--Mobile Robot Navigation in Highly Populated Urban Environments
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To assess the performance of an automatic chord estimation system, reference annotations are indispensable. However, owing to the complexity of music and the sometimes ambiguous harmonic structure of polyphonic music, chord annotations are inherently subjective, and as a result any derived accuracy estimates will be subjective as well. In this paper, we investigate the extent of the confounding effect of subjectivity in reference annotations. Our results show that this effect is important, and they affect different types of automatic chord estimation systems in different ways. Our results have implications for research on automatic chord estimation, but also on other fields that evaluate performance by comparing against human provided annotations that are confounded by subjectivity.
The Chopin Early Editions (CEE) music digital library (MDL), housed and created by The University of Chicago Library, is a collection of approximately 400 first and early edition music scores by the composer Frederic Chopin. Published between 1830 and 1880, these scores provide an important resource for studying Chopin's publishing history, and include many examples of works published concurrently in different countries with textual variations. The online collection is generated programmatically from scanned score images (approximately 13,300 images) and human-created descriptive and structural metadata records, encoded as METS objects. The Greenstone Digital Library Software (GSDL) provides the basic organizational and retrieval mechanisms.
Summary form only given. The problem of reliable speech recognition for information retrieval is a challenging problem when data is recorded across different media, known/unknown equipment, and different speaking environments. In this talk, we consider problems in audio stream phrase recognition for spoken document retrieval from audio materials spanning the past 110 years. When considering audio transcription for SDR, what should be transcribed? Audio content for broadcast news includes commercials, competing speakers, radio call-in shows, background music, over a wide range of recording conditions. This talk considers the evolution of SDR needed over the past 100 years, with emphasis on acoustics due to speaker, noise, and equipment, while text processing based concepts are considered in the following presentation by Jerome Bellegarda, Apple Corp. Early recordings during the late 1890's and early 1900's were carefully structured and scripted, but employed Edison wax cylinder disk recording formats resulting in reasonable speech structure but poor acoustic recordings. As the cost and ease of recording speeches, debates, and broadcast transmissions evolved, less structured audio content becomes more common with a wider range of equipment. The explosion of audio materials, audio Web portals, audio file-sharing frameworks, makes cataloging and organizing audio content for SDR increasingly important and challenging. Varying audio formats for file sharing, as well as the need to ensure ownership through digital watermarking, introduces a number of issues that can also impact speech recognition performance for SDR. We consider a number of areas and approaches taken for effective SDR, and discuss directions for future information detection schemes for richer information retrieval for the next generation of SDR. Finally, as audio material continues to expand at a rapid pace, automatic transcription support for digital archives and libraries is needed in the future
Despite growing interest in multimedia data management, audio retrieval has received little attention. In part, this can be attributed to existing unstructured audio representations that do not easily lend themselves to content based retrieval and especially browsing. This paper aims to address this oversight. It begins by reviewing existing techniques and the specific problems posed by unstructured representations. Some characteristics of audio perception that may be exploited in the solution to these problems are then presented. A new structured representation is then detailed that is designed to support content based retrieval and browsing. Finally, the suitability of this representation for its intended purpose is discussed.
Information overload has become a serious problem for users of the World Wide Web. We propose to use intelligent information retrieval (IIR) agents as a solution to this problem. We identify the desirable features of an IIR agent, including intelligent search, navigation guide, auto notification, personal information management, personal preferred interface, and tools for easy page reading. A modularized agent architecture is then proposed. We describe the responsibility of each component and how they are combined to performed to the various tasks of the IIR agent. We point out that group knowledge, acquired from preferences of other users in the same group, may be useful. Knowledge of our agents is primarily represented by categories. After defining and clarifying the difference between clusters, directories and categories, we present category representations as an abstraction of certain desired information. Possible applications of category knowledge are also examined.
"Browse search using audio key-information" enhances the information search on multimedia on-demand systems. In this scheme, audible digests (key- information), used for browsing, are provided synchronously with text based indexes to the corresponding information.
A novel parametric algorithm that can retrieve roughly 0.25MN 2D exponentials or 0.343MN 2D harmonics from M/spl times/N array data is presented. This compares favorably with most existing algorithms which can retrieve only order max(M, N) exponentials or harmonics. The algorithm is not Fourier resolution limited, and requires neither searching in 2D space nor 2D polynomial rooting. A specific example of retrieving 4 harmonics from a 3/spl times/3 array is developed in detail and numerical performance is demonstrated.
Routing performance is critical for peer-to-peer (P2P) systems to achieve high performance. Current routing algorithms concentrate on creating a well organized network architecture to boost routing performance. However, for each routing procedure, system returns location information of the requested file only and the characteristics of system workload are seldom considered. We propose the UCP2P routing algorithm which introduce "superobject" to take advantage of spatial locality among file accesses. When a client retrieves a file, UCP2P routing algorithm may send location information of several other correlated files in addition within one routing procedure. No further routing procedure is needed if the client requests any of these files later. By this mechanism, we can greatly reduce the routing overhead. Our preliminary simulation results show UCP2P achieves a great routing performance improvement over the previous algorithms.
No standards are currently tagged "Music information retrieval"