Cross-database evaluation of audio-based spoofing detection systems
Project description
Cross-database evaluation of audio-based spoofing detection systems
This package is part of the Bob toolkit and it allows to reproduce the experimental results published in the following paper:
@inproceedings{KorshunovInterspeech2016, author = {P. Korshunov AND S. Marcel}, title = {Cross-database evaluation of audio-based spoofing detection systems}, year = {2016}, month = sep, booktitle = {Interspeech}, pages={1705--1709}, address = {San Francisco, CA, USA}, }
If you use this package and/or its results, please cite the paper.
Installation
The installation instructions are based on conda and works on Linux and Mac OS systems only Install conda before continuing.
Once you have installed conda, download the source code of this paper and unpack it. Then, you can create a conda environment with the following command:
$ cd bob.paper.interspeech_2016 $ conda env create -f environment.yml $ source activate bob.paper.interspeech_2016 # activate the environment $ python -c "import bob.bio.base" # test the installation $ buildout
This will install all the required software to reproduce this paper.
Documentation
For further documentation on this package, please read the Documentation. For a list of tutorials on this or the other packages of Bob, or information on submitting issues, asking questions and starting discussions, please visit its website.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
File details
Details for the file bob.paper.interspeech_2016-1.0.11.zip
.
File metadata
- Download URL: bob.paper.interspeech_2016-1.0.11.zip
- Upload date:
- Size: 62.5 MB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/1.11.0 pkginfo/1.4.2 requests/2.18.4 setuptools/5.5.1 requests-toolbelt/0.8.0 tqdm/4.17.1 CPython/3.4.2
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | aa9e7056ef0358bf1450e79dd5cace5f319173dcb654dd363148432c8752b082 |
|
MD5 | 3ceebdddc2ef95c12fb08a9a62f61a34 |
|
BLAKE2b-256 | 251852a404ad385538ad9a61dcc93debbc709f4b72bc665e884448a8d90a6c7d |