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Related Experiment Videos

Calculating virtual pitch.

E Terhardt

    Hearing Research
    |March 1, 1979
    PubMed
    Summary
    This summary is machine-generated.

    A new method automatically extracts fundamental pitch from complex sounds like speech and music using a virtual pitch model. This algorithm efficiently identifies the core frequency for applications in auditory communication research.

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    Area of Science:

    • Acoustics and Auditory Perception
    • Signal Processing
    • Computational Auditory Scene Analysis

    Background:

    • Defining the 'fundamental' of complex tonal signals (speech, music) is challenging due to its subjective auditory nature.
    • Existing models of virtual-pitch perception offer a potential framework for objective fundamental pitch extraction.
    • Accurate fundamental frequency (f0) estimation is crucial for analyzing and synthesizing auditory signals.

    Purpose of the Study:

    • To develop a schematic and automatic procedure for extracting fundamental pitch from complex tonal signals.
    • To utilize a virtual-pitch perception model as a basis for the extraction algorithm.
    • To enable real-time fundamental pitch extraction for research and engineering applications.

    Main Methods:

    Related Experiment Videos

  • Formation of determinant spectral pitches from a signal's spectral components.
  • Application of a subharmonic matching principle for deduction of fundamental frequency.
  • Development of a simple, universal, and efficient algorithm for subharmonic matching.

    • Main Results:

    • The procedure successfully extracts 'nominal' virtual pitch by identifying spectral pitches.
    • The algorithm accounts for auditory phenomena like Sound Pressure Level (SPL), partial masking, and interval stretch to obtain 'true' virtual pitch.
    • The method operates on signal frequencies and amplitudes, suitable for programmable calculators and computers.

    Conclusions:

    • A robust procedure for automatic fundamental pitch extraction has been developed, grounded in virtual-pitch perception.
    • The algorithm is efficient, universal, and adaptable for both nominal and true virtual pitch determination.
    • The method demonstrates applicability and performance in auditory communication research and engineering.