Recent Changes

Wednesday, May 24

  1. page Datasets edited ... respectively. Million song dataset: freely-available collection of audio features and metadat…
    ...
    respectively.
    Million song dataset: freely-available collection of audio features and metadata for a million contemporary popular music tracks.
    Free Music Archive:Archive (FMA): audio under
    Listening Data / CF:
    MusicMicro 11.11-09.12 --- listening histories inferred from microblogs, including time and GPS position
    (view changes)

Wednesday, May 10

  1. page Datasets edited ... respectively. Million song dataset: freely-available collection of audio features and metadat…
    ...
    respectively.
    Million song dataset: freely-available collection of audio features and metadata for a million contemporary popular music tracks.
    Free Music Archive: audio under Creative Commons from 100k songs (343 days, 1TiB) with a hierarchy of 161 genres, metadata, user data (play counts, favorites, comments), free-form text (description, biography, tags).
    Listening Data / CF:
    MusicMicro 11.11-09.12 --- listening histories inferred from microblogs, including time and GPS position
    (view changes)

Monday, January 9

  1. page Datasets edited ... JGDB , set of randomized MIDI excerpts covering all MIDI instruments, synthesized with 2 diffe…
    ...
    JGDB , set of randomized MIDI excerpts covering all MIDI instruments, synthesized with 2 different synths. Also contains versions with tempo changes to test score-to-audio or audio-to-audio alignment.
    TRIOS , real recordings of trio music covering several instruments. Each instrument is recorded separately and manually aligned to a corresponding MIDI file.
    Track popularity
    Track Popularity Dataset, includes different sources of popularity definition ranging from 2004 to 2014, a mapping between different track/ author/ album identification spaces that allows use of all different sources, information on the remaining, non popular, tracks of an album with a popular track, contextual similarity between tracks and ready for MIR use extracted features for both popular and non-popular audio tracks.

    See also alternative/complementary lists by Alexander Lerch hereand by Alexander Schindler here.
    (view changes)

Tuesday, November 8

  1. page tools edited Tools available for the community to user Audio Feature Extraction Toolboxes There is a paper ca…
    Tools available for the community to user
    Audio Feature Extraction Toolboxes
    There is a paper called An Evaluation of Audio Feature Extraction Toolboxes

    Music content description
    Sonic visualizer: an application for visualizing and analyzing sound. By QMUL
    (view changes)

Thursday, June 2

  1. page courses edited ... Lectures: presentation of digital audio signal processing methods for the analysis and automat…
    ...
    Lectures: presentation of digital audio signal processing methods for the analysis and automatic extraction of (musical) content from audio signals.
    Seminar: Implementation of a project work in Matlab.
    Course material (slides, github, etc.)
    Graduate
    English
    (view changes)

Monday, May 2

  1. page courses edited List of courses related to Music Information Retrieval 24 MIR-related MIR-related courses wor…

    List of courses related to Music Information Retrieval
    24 MIR-relatedMIR-related courses worldwide!
    Teacher
    Course name (link)
    ...
    English
    Music signal analysis, music information retrieval, query by singing/humming, audio fingerprinting, music mood/genre classification, cover song identification.
    Yi-Hsuan Yang and Li Su
    Music Information Retrieval
    Computer Science
    National Tsing Hua University
    Taiwan
    This course covers the signal processing and machine learning techniques relevant to music information retrieval.
    Graduate
    English
    Music information retrieval, automatic music transcription, source separation, cross cultural MIR
    Roger B. Dannenberg
    Computer Music Systems and Information Retrieval
    Emerging Media Master (EM2), Sound and Music Computing area
    Carnegie Mellon University
    USA
    This course covers a number of topics related to computer music systems: representation, real-time control, automatic music listening and generation. An overview of machine learning and a project on genre classification is included.
    Graduate
    English
    music listening, music understanding, classification, interactio

    If you would like to contribute to this page, please fill this questionnaire or edit this page.
    (view changes)
  2. page courses edited ... Graduate English/Norwegian sound analysis, J.-S. Roger Jang Music Signal Analysis and Ret…
    ...
    Graduate
    English/Norwegian
    sound analysis,J.-S. Roger Jang
    Music Signal Analysis and Retrieval
    Computer Science and Information Engineering
    National Taiwan University
    Taiwan
    The course is aimed to provide students with necessary theoretical background and programming techniques for
    music signal analysis and music information retrieval. For the analysis part, we shall focus on feature extraction over audio music, including pitch tracking, onset detection, beat tracking, etc. For the retrieval part, we shall cover machine learning methods for various tasks such as query by singing/humming, audio fingerprinting, genre classification, mood classification, cover song identification, singing scoring, score following, etc. The students are also expected to collect corpora to be used in programming contests in the class. MATLAB will be used extensively in our working examples, homework, and programming contests.
    Graduate
    English
    Music signal
    analysis, sound perception, max, pd, matlab
    ||
    music information retrieval, query by singing/humming, audio fingerprinting, music mood/genre classification, cover song identification.
    If you would like to contribute to this page, please fill this questionnaire or edit this page.
    (view changes)
  3. page courses edited ... Korean/English music retrieval, music search/discovery, music content analysis, digital audio…
    ...
    Korean/English
    music retrieval, music search/discovery, music content analysis, digital audio signal processing, machine learning
    Alexander Refsum Jensenius
    Sound Analysis
    Musicology
    University of Olso
    Norway
    Covering sound, sound perception and machine-based sound analysis, with practical work in Max, PD and Matlab.
    Graduate
    English/Norwegian
    sound analysis, music analysis, sound perception, max, pd, matlab
    ||

    If you would like to contribute to this page, please fill this questionnaire or edit this page.
    (view changes)

Tuesday, March 1

  1. page courses edited ... Information Retrieval, Music Information Retrieval, Text Retrieval Eleanor Selfridge-Field, C…
    ...
    Information Retrieval, Music Information Retrieval, Text Retrieval
    Eleanor Selfridge-Field, Craig Stuart Sapp
    ...
    Musical Information;
    Music Query, Analysis, and Style Simulation
    Multiple: M.S./Ph.D. in Music, Science, Technology; M.S./Ph.D. in Computer Science
    Stanford University
    USA
    ...
    and analysis).
    Using

    Using
    an open-source
    ...
    or enhance appllicationsapplications of other
    Class time is divided during the first four weeks to cover basic areas of music analysis (melodic comparison, rhythmic articulation, principles of harmony) and retrieval and to learn some of the basic principles of the Humdrum Toolkit. Data is available at the KernScores website, MuseData, and Josquin Research Project websites.
    Graduate
    English
    ...
    translation, visualization, music query, Humdrum, KernScoresKernScores, MuseData, Josquin Research Project
    Zhiyao Duan
    Computer Audition
    (view changes)

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