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5 results for “Discography”
D-PLACE dataset derived from Bertolo et al. 2023 'Cross-cultural music corpus: The Expanded Natural History of Song Discography'
<p>Cite the source of the dataset as:</p> <blockquote> <p>Mila Bertolo, Martynas Snarskis, Manvir Singh, & Samuel Mehr. (2023, August 8). Cross-cultural music corpus: The Expanded Natural History of Song Discography. Zenodo. https://doi.org/10.5281/zenodo.8378337</p> </blockquote>
JazzCats Body and Soul discography
<p>This dataset was generated for <em>JazzCats (Jazz Collection of Aggregated Triples)</em> and describes over 200 recordings of the jazz standard <em>Body and Soul</em>. Further information about <em>JazzCats</em> is available at http://jazzcats.oerc.ox.ac.uk/ This dataset is derived from Jose Bowen's <em>Body and Soul</em> discography, published as supplementary data to <em>Who plays the tune in “Body and Soul”? A performance history using recorded sources</em>. Bowen's discography is available at http://josebowen.com/body-and-soul/</p>
Cross-cultural music corpus: The Natural History of Song Discography (randomized 14s excerpts)
<p>This repository contains 14-second excerpts of the <em>Natural History of Song</em> Discography. The audio corpus was originally published in Mehr et al. (2019, Science) and the full audio files are available via DUA on the Harvard Dataverse (<a href="https://doi.org/10.7910/DVN/SESAO1">https://doi.org/10.7910/DVN/SESAO1</a>). This repository makes available the excerpts of each track, under Fair Use, given their brief length (14 seconds each). These were also used in other papers (e.g., Mehr & Singh et al., 2018, Current Biology; Bainbridge & Bertolo et al., 2021, Nature Human Behaviour; Hilton & Crowley-de Thierry et al., 2022, JEP:General; Yurdum et al., 2023, PNAS) and are concurrently posted on the Open Science Framework (<a href="https://osf.io/vcybz/">https://osf.io/vcybz/</a>). They are permanently archived here for easier accessibility.</p> <p>Other Natural History of Song data, including staff-notation transcriptions of all the songs, are available at <a href="https://osf.io/jmv3q/">https://osf.io/jmv3q/</a>. There is also an expanded version of the corpus, with 1007 songs (including all 118 of the original NHS songs, available on Zenodo at <a href="https://doi.org/10.5281/zenodo.8237500">https://doi.org/10.5281/zenodo.8237500</a>.</p> <p>The audio excerpts are provided in MP3 format for use in perception experiments. There are 118 excerpts. Each row of <strong>NHSDiscography-metadata.csv </strong>corresponds to one song, and provides general information about each song, including original sources. <strong>NHSDiscography-codebook.pdf</strong> summarizes the types of metadata available. Both these documents were originally published in Mehr et al. (2019, Science), along with the original corpus, and quite a bit of other information concerning how the corpus was built (<a href="https://www.science.org/doi/10.1126/science.aax0868">https://www.science.org/doi/10.1126/science.aax0868</a>). </p> <p>Please contact Samuel Mehr (<a href="mailto:sam@yale.edu">sam@yale.edu</a>) if you have questions concerning the use of these audio files.</p>
Cross-cultural music corpus: The Expanded Natural History of Song Discography
<p>This repository hosts the <strong>Expanded Natural History of Song Discography</strong>. It contains 1007 audio recordings of vocal music gathered from many human societies, each annotated with a world region, language, and behavioural context. </p> <p>Each song file contains a 10-second excerpt of the source audio, selected at random from only portions of the recording that contain an audible singer. Given the short form of each excerpt, and the intended use of these files only for research purposes, they have been made available under Fair Use.</p> <p><strong>NHS2-songs.zip </strong>contains the audio files, volume-matched and with 1s fade in/out added, in MP3 format. These can be analysed as-is or used in experiments.</p> <p><strong>NHS2-metadata.csv </strong>contains annotations, where each row corresponds to a song. The four columns include <strong>song</strong>, which includes a unique identifier for each song in the format `NHS2-XXXX.mp3`; <strong>region</strong>, which indicates an approximate geographical location where the song was recorded, using Human Relations Area Files categories (see <a href="https://ehrafworldcultures.yale.edu">https://ehrafworldcultures.yale.edu</a>); <strong>glottocode</strong>, which indicates the language in which the song is produced (see <a href="https://glottolog.org">https://glottolog.org</a>); and <strong>type</strong>, which indicates the behavioural context in which the song was produced, from a set of 10 categories (dance, healing, love, lullaby, play, procession, mourning, work, story, and praise).</p> <p>For assistance with the corpus, contact Martynas Snarskis (<a href="mailto:martysnarskis@gmail.com">martysnarskis@gmail.com</a>), Mila Bertolo (<a href="mailto:mila.bertolo@mail.mcgill.ca">mila.bertolo@mail.mcgill.ca</a>), and Samuel Mehr (<a href="mailto:mehr@hey.com">mehr@hey.com</a>).</p> <p>Further information about the construction of this corpus will be made available in a forthcoming paper; we will update this Zenodo archive when the paper is publicly available.</p>
Value of Functional Anesthetic and Provocative Discography in the Surgical Treatment of Discogenic Pain
ClinicalTrials.gov study NCT01077947. IPD Sharing: Not stated. Countries: 0. Publications: 0.
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