Supplementary Material for "pya - a Python Library for Audio Processing and Auditory Display"
Hermann T, Yang J (2019)
Bielefeld University .
Datenpublikation
Download
Creator
Einrichtung
Abstract / Bemerkung
This research data publication contains supplementary material that accompanies the publication "pya - a Python Library for Audio Processing and Auditory Display". As the pya code is public and available via http://github.com/interactive-sonification/pya, we here provide only specific audio files and code examples, specifically connected to Section 4 of the paper.
Erscheinungsjahr
2019
Copyright und Lizenzen
Page URI
https://pub.uni-bielefeld.de/record/2938412
Zitieren
Hermann T, Yang J. Supplementary Material for "pya - a Python Library for Audio Processing and Auditory Display". Bielefeld University ; 2019.
Hermann, T., & Yang, J. (2019). Supplementary Material for "pya - a Python Library for Audio Processing and Auditory Display". Bielefeld University . https://doi.org/10.4119/unibi/2938412
Hermann, Thomas, and Yang, Jiajun. 2019. Supplementary Material for "pya - a Python Library for Audio Processing and Auditory Display". Bielefeld University .
Hermann, T., and Yang, J. (2019). Supplementary Material for "pya - a Python Library for Audio Processing and Auditory Display". Bielefeld University .
Hermann, T., & Yang, J., 2019. Supplementary Material for "pya - a Python Library for Audio Processing and Auditory Display", Bielefeld University .
T. Hermann and J. Yang, Supplementary Material for "pya - a Python Library for Audio Processing and Auditory Display", Bielefeld University , 2019.
Hermann, T., Yang, J.: Supplementary Material for "pya - a Python Library for Audio Processing and Auditory Display". Bielefeld University (2019).
Hermann, Thomas, and Yang, Jiajun. Supplementary Material for "pya - a Python Library for Audio Processing and Auditory Display". Bielefeld University , 2019.
Alle Dateien verfügbar unter der/den folgenden Lizenz(en):
Creative Commons Namensnennung 4.0 International Public License (CC-BY 4.0):
Volltext(e)
Name
data.zip
954.40 KB
Titel
data.zip
Beschreibung
example data sets for the ipython notebook pya-examples.ipynb
Access Level
Open Access
Zuletzt Hochgeladen
2019-10-29T10:44:00Z
MD5 Prüfsumme
e6b034cc4a383862f2d57768363aa335
Name
pya-examples.ipynb
396.68 KB
Titel
pya-examples.ipynb
Beschreibung
ipython notebook containing code examples to render plots and sonifications
Access Level
Open Access
Zuletzt Hochgeladen
2019-10-29T10:44:14Z
MD5 Prüfsumme
2be1ad0295b74b37942952822926c935
Name
pya-examples.pdf
297.11 KB
Titel
pya-examples.pdf
Beschreibung
PDF file for pya-examples.ipynb
Access Level
Open Access
Zuletzt Hochgeladen
2019-10-29T10:44:26Z
MD5 Prüfsumme
28ef55f16f55fe3d921f1e483b006f27
Name
S1-eeg-absence-rate10.wav
1.77 MB
Titel
S1-eeg-absence-rate10.wav
Beschreibung
example 1: audification of EEG data at 10x compression
Access Level
Open Access
Zuletzt Hochgeladen
2019-10-29T10:44:44Z
MD5 Prüfsumme
9c0d74e41d4ac61880183927144e9236
Name
S2-eeg-absence-rate25.wav
706.81 KB
Titel
S2-eeg-absence-rate25.wav
Beschreibung
Example 2: audification of EEG data at a 25x time compression
Access Level
Open Access
Zuletzt Hochgeladen
2019-10-29T10:44:44Z
MD5 Prüfsumme
257e91ebd28812109c84fe2b65f26aa7
Name
S3-timbraleeg.wav
384.19 KB
Titel
S3 Timbral EEG
Beschreibung
Sound example 3: timbral EEG sonification
Access Level
Open Access
Zuletzt Hochgeladen
2019-10-29T10:44:44Z
MD5 Prüfsumme
abb98f6fc1aa0531d9fe3083f8eec682
Name
S4-PMson-iris-dataset.wav
268.85 KB
Titel
S4-PMson-iris-dataset.wav
Beschreibung
Sound example 4: a parameter-mapping sonification of the Iris data set.
Access Level
Open Access
Zuletzt Hochgeladen
2019-10-29T10:44:44Z
MD5 Prüfsumme
67de9aa34b28086116d8c4f6d1490a19
Material in PUB:
In sonstiger Relation
pya - a Python Library for Audio Processing and Auditory Display
Hermann T, Yang J (2019)
In: Proceedings of the Nordic Sound and Music Computing Conference 2019 (Nordic SMC 2019) . Stockholm, Sweden: 73-79.
Hermann T, Yang J (2019)
In: Proceedings of the Nordic Sound and Music Computing Conference 2019 (Nordic SMC 2019) . Stockholm, Sweden: 73-79.