• DocumentCode
    2170317
  • Title

    A novel MIR framework and application with automatic voice processing, database construction and fuzzy matching

  • Author

    Li, Peng ; Zhou, Mingquan ; Wang, Xuesong ; Wang, Xiaofeng ; Li, Nansha ; Xie, Lizhi

  • Author_Institution
    Virtual Reality & Visualization Technol. Inst., Beijing Normal Univ., Beijing, China
  • Volume
    1
  • fYear
    2010
  • fDate
    26-28 Feb. 2010
  • Firstpage
    20
  • Lastpage
    24
  • Abstract
    In this paper, we present a music information retrieval system which enables users to retrieve music by vocal query. Three essential components are query processing, database construction by MIDI and an approximate search engine. For query processing, we have achieved a real-time and robust voice-to- melody converter. For database construction, proposed MIDI analysis methods to obtain music melody features from MIDI files automatically. In order to match query with melodies in database, we extend an existing search engine into a fast approximate melodic matching engine. We have carried out extensive experiments on the prototype system to evaluate the performance. The results show that the proposed three components are achieving good performance.
  • Keywords
    audio databases; fuzzy set theory; music; query processing; speech processing; MIDI; MIR application; MIR framework; automatic voice processing; database construction; fuzzy matching; information retrieval system; query processing; robust voice-to- melody converter; search engine; Content based retrieval; Educational institutions; Educational technology; Frequency; Information science; Matched filters; Music information retrieval; Query processing; Search engines; Spatial databases; “Cabinet” Post-treatment; MIR; Melodic Matching; Pitch Extraction; Vocal Query;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer and Automation Engineering (ICCAE), 2010 The 2nd International Conference on
  • Conference_Location
    Singapore
  • Print_ISBN
    978-1-4244-5585-0
  • Electronic_ISBN
    978-1-4244-5586-7
  • Type

    conf

  • DOI
    10.1109/ICCAE.2010.5452008
  • Filename
    5452008