A data-driven analysis of the pitch (fundamental frequency) of spoken language across dozens of languages and regional variants. Using ~100k scraped audio clips, FFT-based frequency analysis, and bootstrapped statistics, the author finds meaningful pitch differences between languages — Hungarian being among the lowest, Chinese

9m read timeFrom erikbern.com
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Ok, but what’s the point?How did I perform this analysis?

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