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Group Delay Function from All-Pole Models for Musical Instrument Recognition

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Details

Original languageEnglish
Title of host publicationSound, Music, and Motion, 10th International Symposium, CMMR 2013, Marseille, France, October 15-18, 2013. Revised Selected Papers
EditorsMitsuko Aramaki, Olivier Derrien, Richard Kronland-Martinet, Solvi Ystad
PublisherSpringer International Publishing
Pages606-618
Number of pages18
ISBN (Electronic)978-3-319-12976-1
ISBN (Print)978-3-319-12975-4
DOIs
Publication statusPublished - 2014
Publication typeA4 Article in a conference publication
EventInternational Symposium on Computer Music Multidisciplinary Research -
Duration: 1 Jan 1900 → …

Conference

ConferenceInternational Symposium on Computer Music Multidisciplinary Research
Period1/01/00 → …

Abstract

In this work, the feature based on the group delay function from all-pole models (APGD) is proposed for pitched musical instrument recognition. Conventionally, the spectrum-related features take into account merely the magnitude information, whereas the phase is often overlooked due to the complications related to its interpretation. However, there is often additional information concealed in the phase, which could be beneficial for recognition. The APGD is an elegant approach to inferring phase information, which lacks of the issues related to interpreting the phase and does not require extensive parameter adjustment. Having shown applicability for speech-related problems, it is now explored in terms of instrument recognition. The evaluation is performed with various instrument sets and shows noteworthy absolute accuracy gains of up to 7% compared to the baseline mel-frequency cepstral coefficients (MFCCs) case. Combined with the MFCCs and with feature selection, APGD demonstrates superiority over the baseline with all the evaluated sets.

Keywords

  • Musical instrument recognition, Phase spectrum, Music information retrieval, All-pole group delay feature

Publication forum classification

Field of science, Statistics Finland