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Some statistical characteristics of voice fundamental frequency.

Y Horii

    Journal of Speech and Hearing Research
    |March 1, 1975
    PubMed
    Summary
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    Investigating sampling errors in voice fundamental frequency (fo) analysis reveals how sample size impacts accuracy. Larger samples generally reduce errors for mean, median, and standard deviation estimates in oral reading.

    Area of Science:

    • Acoustic Phonetics
    • Speech Science
    • Statistical Analysis in Linguistics

    Background:

    • Accurate estimation of voice fundamental frequency (fo) is crucial for speech analysis.
    • Sampling variability can introduce errors in statistical measures of fo.
    • Understanding these errors is essential for reliable speech data interpretation.

    Purpose of the Study:

    • To quantify sampling errors in voice fundamental frequency (fo) estimates.
    • To examine the influence of sample size on the accuracy of fo mean, median, and standard deviation.
    • To compare sampling strategies: fixed time windows versus sentence/paragraph samples.

    Main Methods:

    • Conducted two experiments manipulating sample size and sampling method.
    • Analyzed voice fundamental frequencies (fo) obtained during oral reading.

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  • Calculated mean, median, and standard deviation for each sample.

    • Main Results:

    • Sampling errors for fo estimates decrease as sample size increases.
    • Fixed time window sampling and sentence/paragraph sampling yield comparable results regarding error magnitude.
    • The shape of fo distributions and interrelationships between measures are affected by sample size.

    Conclusions:

    • Sample size is a critical factor influencing the reliability of voice fundamental frequency (fo) measures.
    • Both sampling methods investigated are subject to sampling errors, which are reducible with larger samples.
    • Consideration of sample size is vital for accurate statistical interpretation of speech acoustics.