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Audio Indexing for Efficient Music Information Retrieval

    http://users.ionio.gr/~karydis/my_papers/KNPM2005%20-%20Audio%20Indexing%20for%20Efficient%20Music%20Information%20Retrieval.pdf
    Audio Indexing for Efficient Music Information Retrieval ⁄ Ioannis Karydis, Alexandros Nanopoulos, Apostolos N. Papadopoulos and Yannis Manolopoulos Data Engineering Lab., Department of Informatics Aristotle University, 54124, Thessaloniki, GREECE E-mail:fkarydis,alex,apostol,[email protected] Abstract

Audio Indexing for Efficient Music Information Retrieval

    https://www.academia.edu/15215686/Audio_Indexing_for_Efficient_Music_Information_Retrieval
    Audio Indexing for Efficient Music Information Retrieval . × Close Log In. Log in with Facebook Log in with Google. or. Email. Password. Remember me on this computer. or reset password. Enter the email address you signed up with and we'll email you a reset link. ...

Audio Indexing for Efficient Music Information Retrieval ...

    https://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.61.6459
    CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): This paper presents an algorithm that efficiently retrieves audio data similar to an audio query. The proposed method utilises a feature extraction method for acoustical music sequences. The extracted features are grouped by Minimum Bounding Rectangles (MBRs) and indexed by means of a spatial access …

A Brief Overview of Audio Information Retrieval

    https://ccrma.stanford.edu/~unjung/AIR/KEAMS.pdf
    Multimedia Information stored on computer systems increases due to Internet. Multimedia database is classified/retrieved in a manual process which is often subjective and inaccurate when describing audio. Multimedia database should be handled by the methods of “automatic” analysis, segmentation, indexing and retrieval.

Indexing and Retrieval of Audio: A Survey | SpringerLink

    https://link.springer.com/article/10.1023/A:1012491016871
    With more and more audio being captured and stored, there is a growing need for automatic audio indexing and retrieval techniques that can retrieve relevant audio pieces quickly on demand. This paper provides a comprehensive survey of audio indexing and retrieval techniques. We first describe main audio characteristics and features and discuss techniques for classifying audio …

An overview of audio information retrieval | Multimedia ...

    https://dl.acm.org/doi/10.1007/s005300050106
    The problem of audio information retrieval is familiar to anyone who has returned from vacation to find ananswering machine full of messages. While there is not yetan "AltaVista" for the audio data type, many workers arefinding ways to automatically locate, index, and browse audio using recent advances in speech recognition and machinelistening.

Indexing and Retrieval of Audio - SlideShare

    https://www.slideshare.net/rachmatwahid/slide-indexing-and-retrieval-of-audio
    Indexing and Retrieval of Structured Music and Sound Effects • Structured music are represented by a set of commands. • The most common structured music is MIDI. • A new standard of structured audio is MPEG-4 Structured Audio. • The formats contains structure and notes description.

Audio Indexing for Efficient Music Information Retrieval ...

    https://www.researchgate.net/publication/220989281_Audio_Indexing_for_Efficient_Music_Information_Retrieval
    Request PDF | Audio Indexing for Efficient Music Information Retrieval. | This paper presents an algorithm that efficiently retrieves audio data similar to an audio query. The proposed method ...

Audio Information Retrieval Past, Present and Future

    https://www.csee.umbc.edu/~nicholas/676/Spring2014presentations/Music%20Information%20Retrieval%20-Kaavya.pdf
    [2] Problems of Music Information Retrieval in the Real World, Donald Byrd University of Massachusetts Amherst [3] An Industrial-Strength Audio Search Algorithm, Avery Li-Chun Wang, Shazam Entertainment, Ltd. [4] Cheng Yang, “MACS: Music Audio Characteristic Sequence Indexing For Similarity Retrieval”, in

Lecture 12: Multimedia Indexing

    https://www.ee.columbia.edu/~dpwe/e6820/lectures/E6820-L12-apps-2up.pdf
    E6820 SAPR - Dan Ellis L12 - Indexing 2007-04-12 - 24 Outline Spoken document retrieval Audio databases Open issues - Speech recognition - Sound source separation - Information extraction & visualization - Learning from audio 1 2 3

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