Supplementary Information for the paper "Different languages, similar encoding efficiency: comparable information rates across the human communicative niche"

These supplementary materials contain:

• the primary data as two TAB-separated CSV files:
  • InfoRateData.csv: contains most of the primary data as follows:
    • Speaker: the unique speaker IDs
    • Language: the language code
    • Text: the text ID
    • Sex: the speaker's sex (F=female, M=male)
    • Duration: the text's duration (in seconds)
    • NS: the text's canonical number of syllables
    • ShE: the language's Shannon Entropy
    • ID: the language's Information Density
    • Age: the speaker's age (in years)
  • AutomaticSylDetect.csv: contains the results of the automatic syllable detection algorithm, as follows:
    • soundname: the unique identifier of the soundfile (= a text produced by a given speaker in a given language)
    • nsyll: the detected number of syllables
    • npause: the number of detected pauses (longer than 150ms)
    • dur: the total duration (in seconds)
    • phonationtime: the duration of the actual phonation (in seconds)
• the full Rmarkdown analysis and plotting script InfoRate.Rmd
• the resulting HTML output InfoRate.html