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Software . 2017
Data sources: Datacite
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Software . 2017
Data sources: ZENODO
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astorfi/speech_feature_extraction: SpeechPy

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 17 Jun 2017Publisher:Zenodo
Authors: Amirsina Torfi;
Code repository: https://github.com/astorfi/speech_feature_extraction/tree/1.0.0

doi: 10.5281/zenodo.810392

astorfi/speech_feature_extraction: SpeechPy

Abstract

This packages contains the feature extraction software implementation for our paper Text-Independent Speaker Verification Using 3D Convolutional Neural Networks (Torfi, Nasrabadi, Dawson), arXiv:1705.09422 [hep-ph]. It includes important pre-processing operations such as frame-stacking and feature-extraction functions for features such as MFCC and etc.

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selected citations
These citations are derived from selected sources.
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).
BIP!Citations provided by BIP!
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.
BIP!Impulse provided by BIP!
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