A framework for real-time instrumental sound segmentation and labeling

Authors: Adriano Monteiro and Jônatas Manzolli

Download full paper: Media:A framework for real-time instrumental sound segmentation and labeling.pdf

This paper presents a collection of Pure Data abstractions for real-time transcription of the audio signal produced by musical instruments. It is a tool

  1. for musical notes labeling and targeting in time;
  2. for handling the representation of musical data obtained in 1).

It is part of the PDescriptors, a library for audio features extracting developed by the author, mostly based on BSP technique[1]. In the text we start introducing literature review on automatic music transcription and its central issues. it follows the models parametric transcription we adopted in the present research regarding onset detection, extraction of harmonic content and timbre classification of percussion instruments. Finally, we discuss and detail our Pure Data implementation and present some results related its aplications in a human-computer interaction system.

References

  1. Barknecht, 2010



Kreativfonds Bauhaus-Univeristät WeimarElectronic Arts Blog für digitale SpielkulturThe Mozilla FoundationAllied Vision TechnologiesReality Jockey Ltd.Freistaat ThüringenBauhaus-Universität WeimarHochschule für Musik Franz Liszt WeimarFraunhofer Institute for Digital Media Technology IDMTStadt WeimarKlassik Stiftung WeimarNKFaculty of MediaStudio for electro-acoustic MusicKulturTragWerk e.V.Elektronisches Studio der TU BerlinMaschinenraum Hackerspace WeimarParlomar5 e.V.Lab for Electronic Arts and PerformanceRadio Lotte WeimarSponsors and partners of the 4th internationals Pure Data Convention in Weimar 2011

4th international Pure Data Convention 2011 Weimar ~ Berlin