Human vocalization corpus: recordings of infant-directed and adult-directed speech and song in 21 societies
<p>This repository contains a corpus of 1615 audio recordings of speech and song collected in 21 societies, first reported in Moser et al. (2020; <a href="https://www.biorxiv.org/content/10.1101/2020.04.09.032995v5">bioRxiv</a>) and later published in Hilton & Moser et al. (2022; <a href="https://doi.org/10.1038/s41562-022-01410-x">Nature Human Behaviour</a>). For assistance using any of this, contact Cody Moser (<a href="mailto:cmoser2@ucmerced.edu">cmoser2@ucmerced.edu</a>), Courtney Hilton (<a href="mailto:courtney.hilton@auckland.ac.nz">courtney.hilton@auckland.ac.nz</a>), and Samuel Mehr (<a href="mailto:mehr@hey.com">mehr@hey.com</a>).</p> <p>Two versions of the audio are included: raw audio (`IDS-corpus-raw.zip`) and audio that was edited to prepare the recordings for automatic acoustic feature extraction (`IDS-corpus-edited.zip`). `IDS-textGrids.zip` contains annotation files from Praat's silence detection method, which were manually reviewed for accuracy. These files are used with the audio extraction scripts associated with the project (see code linked in paper) to build the edited audio files.</p> <p>`IDS-fieldsites.csv` contains some fieldsite-level metadata; additional metadata is in the Supplementary Information of the paper.</p> <p>In the two .zip archives, filenames have the format XXXYYZ.wav, where "XXX" is a fieldsite code, "YY" is a participant number, and "Z" is a vocalization type.</p> <p>Fieldsite codes are:</p> <blockquote> <p>MBE: Mbendjele BaYaka<br> HAD: Hadza<br> NYA: Nyangatom<br> TOP: Toposa<br> BEJ: Beijing<br> JEN: Jenu Kurubas<br> MEN: Mentawai Islanders<br> KRA: Krakow<br> LIM: Rural Poland<br> TUR: Turku<br> USD: San Diego<br> TOR: Toronto<br> VAN: Tannese Vanuatuans<br> PNG: Enga<br> WEL: Wellington<br> ARA: Arawak<br> TSI: Tsimane<br> SPA: Sápara & Achuar<br> QUE: Quechua<br> ACO: Afrocolombians<br> MES: Colombian Mestizos</p> </blockquote> <p>Participant numbers are padded integers, starting with 01, and are unique within fieldsites.</p> <p>Vocalization types are:</p> <blockquote> <p>A: infant-directed song<br> B: infant-directed speech<br> C: adult-directed song<br> D: adult-directed speech </p> </blockquote> <p>In a few cases, participants vocalized in a different language than was expected, given the primary language of their fieldsite (e.g., when the participant was multilingual, or if they sang a song that contains multiple languages, as in The Beatles' "Michelle"). The file `IDS-unexpectedLanguages.csv` at <a href="https://github.com/themusiclab/infant-speech-song/blob/main/data/IDS-unexpectedLanguages.csv">https://github.com/themusiclab/infant-speech-song/blob/main/data/IDS-unexpectedLanguages.csv</a> contains an inventory of these examples from the English-speaking fieldsites. This issue only affects a small minority of the recordings, as it was typically avoided by the researchers collecting the recordings. </p>
ShareScore
32/100
Overall dataset sharing score