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

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Sound, Music, and Motion (CMMR 2013)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 8905))

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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.

This research has been funded by the Academy of Finland, project numbers 258708, 253120 and 265024.

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Authors and Affiliations

  1. Department of Signal Processing, Tampere University of Technology, Tampere, Finland

    Aleksandr Diment, Toni Heittola & Tuomas Virtanen

  2. School of Computing and Electrical Engineering, Indian Institute of Technology, Mandi, Himachal Pradesh, India

    Padmanabhan Rajan

Authors
  1. Aleksandr Diment
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  2. Padmanabhan Rajan
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  3. Toni Heittola
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  4. Tuomas Virtanen
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Correspondence to Aleksandr Diment .

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Editors and Affiliations

  1. CNRS - LMA, Marseille, France

    Mitsuko Aramaki

  2. Toulon-Var University and CNRS - LMA, Marseille, France

    Olivier Derrien

  3. CNRS - LMA, Marseille, France

    Richard Kronland-Martinet

  4. CNRS - LMA, Marseille, France

    Sølvi Ystad

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Diment, A., Rajan, P., Heittola, T., Virtanen, T. (2014). Group Delay Function from All-Pole Models for Musical Instrument Recognition. In: Aramaki, M., Derrien, O., Kronland-Martinet, R., Ystad, S. (eds) Sound, Music, and Motion. CMMR 2013. Lecture Notes in Computer Science(), vol 8905. Springer, Cham. https://doi.org/10.1007/978-3-319-12976-1_37

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  • DOI: https://doi.org/10.1007/978-3-319-12976-1_37

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-12975-4

  • Online ISBN: 978-3-319-12976-1

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