Musical instrument identification : A pattern-recognition approach

  title={Musical instrument identification : A pattern-recognition approach},
  author={Keith Dana Martin},
A statistical pattern-recognition technique was applied to the classification of musical instrument tones within a taxonomic hierarchy. Perceptually salient acoustic features— related to the physical properties of source excitation and resonance structure—were measured from the output of an auditory model (the log-lag correlogram) for 1023 isolated tones over the full pitch ranges of 15 orchestral instruments. The data set included examples from the string (bowed and plucked), woodwind (single… CONTINUE READING
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Publications referenced by this paper.
Showing 1-10 of 27 references

Timbre perception and auditory object identification

  • S. Handel
  • 1995

An Efficient Implementation of the Patterson - Holdsworth Auditory Filter Bank

  • M. Slaney
  • 1993
1 Excerpt

The role of acoustic signal partitions in listener categorization of muscial phrase

  • A. J. Ellis, R. A. Trans. Dover. Kendall
  • Music Perception,
  • 1986

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