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Tools for running speaker recognition experiments

Project Description

Run speaker recognition algorithms

This package is part of the signal-processing and machine learning toolbox Bob. This package is part of the bob.bio packages, which allow to run comparable and reproducible biometric recognition experiments on publicly available databases.

This package contains functionality to run speaker recognition experiments. It is an extension to the bob.bio.base package, which provides the basic scripts. In this package, utilities that are specific for speaker recognition are contained, such as:

  • Audio databases
  • Voice activity detection preprocessing
  • Acoustic feature extractors
  • Recognition algorithms based on acoustic features

For further information about bob.bio, please read its Documentation.

Installation

Complete Bob’s installation instructions. Then, to install this package, run:

$ conda install bob.bio.spear

Contact

For questions or reporting issues to this software package, contact our development mailing list.

Release history Release notifications

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3.2.0

This version
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3.1.1

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3.1.0

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3.0.5

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3.0.1

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3.0.0

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2.0.5

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2.0.4

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2.0.3

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2.0.2

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2.0.1

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2.0.0

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Filename, size & hash SHA256 hash help File type Python version Upload date
bob.bio.spear-3.1.1.zip (1.3 MB) Copy SHA256 hash SHA256 Source None Sep 23, 2017

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