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SuperKogito/spafe: v0.2.0

Authors: Ayoub Malek; Stefano Borzì; Christian Heider Nielsen;

SuperKogito/spafe: v0.2.0

Abstract

Spafe: Simplified Python Audio Features Extraction. What's new? Added spectrogram implementations. Added predefined filter banks input to the spafe features functions for faster batch processing. Added the Constant Q Cepstral Coefficients (CQCC) implementation. Improved, restyled & added references and examples to the documentation. Improved and simplified the code and the tests . Inspected Cython and GPU accelerations to code (dropped). Tested support for different sampling rates (8kHz, 16kHz, 32kHz, 44100Hz, 48kHz). Converters bug fixed. Documentation available at https://superkogito.github.io/spafe/v0.2.0/index.html New contributors: Stefano Borzì https://github.com/Helias Christian Heider Nielsen https://github.com/cnheider

Related Organizations
Keywords

audio analysis, audio features extraction, speech processing

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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