LATENT REFERENCES / TAG1
SCHAEFFER dataset
Original title: SCHAEFFER dataset
This reference note belongs to Tag1 in Latent References, an archive curated by Keigo Yoshida. Its archive region is C/O Berlin. The note preserves its source text and links so that readers can trace the material behind the 3D map.
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- Tag1
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- C/O Berlin
Archived reference note
English translation of the archived note. JP shows the original text. Source links and literal code are retained; the translation does not update or independently verify the source claims.
https://github.com/mauriziobrt/SCHAEFFER?tab=readme-ov-file
Authors: Maurizio Berta & Daniele Ghisi
The SCHAEFFER dataset (Spectro-morphogical Corpus of Human-annotated Audio with Electroacoustic Features For Experimental Research) is a compilation of 1000 raw audio files accompanied by human annotations and morphological acoustic features. The audio files adhere to the concept of Sound Objects introduced by Pierre Schaeffer, a framework for the analysis and creation of sound that focuses on its typological and morphological characteristics. Inside the dataset, the annotations are provided in the form of free text, while the labels are pre-chosen from a list of classes, making the sound description fit into a suitable framework for digital analysis.
https://github.com/mauriziobrt/SCHAEFFER?tab=readme-ov-file
Authors: Maurizio Berta & Daniele Ghisi
The SCHAEFFER dataset (Spectro-morphogical Corpus of Human-annotated Audio with Electroacoustic Features For Experimental Research) is a compilation of 1000 raw audio files accompanied by human annotations and morphological acoustic features. The audio files adhere to the concept of Sound Objects introduced by Pierre Schaeffer, a framework for the analysis and creation of sound that focuses on its typological and morphological characteristics. Inside the dataset, the annotations are provided in the form of free text, while the labels are pre-chosen from a list of classes, making the sound description fit into a suitable framework for digital analysis.
Source updated 2026-03-30 · Snapshot 2026-10-08
Source links and calculated neighbors
Cosine values measure shared lexical features, not truth, agreement or identical meaning. Original reference links are labeled separately.
- Sound Analysis -MaxComputed lexical cosine similarity 0.142 · shared title, text, tags and references
- xln audioComputed lexical cosine similarity 0.126 · shared title, text, tags and references
- RX 11 audio repairComputed lexical cosine similarity 0.126 · shared title, text, tags and references
- After -IRCAMComputed lexical cosine similarity 0.096 · shared title, text, tags and references
- Free 3D objectsComputed lexical cosine similarity 0.093 · shared title, text, tags and references
- monom berlin spacial audioComputed lexical cosine similarity 0.085 · shared title, text, tags and references