Reproducing results of paper submitted to IEEE/ACM Transactions on Audio, Speech, and Language Processing
This package is part of the signal-processing and machine learning toolbox Bob andit allows to reproduce the following paper:
@inproceedings{Muckenhirntaslp_2017,
author = {Muckenhirn, Hannah and Korshunov, Pavel and Magimai.-Doss, Mathew and Marcel, S{\'{e}}bastien},
title = {Long Term Spectral Statistics for Voice Presentation Attack Detection,
booktitle = {To appear in IEEE/ACM Transactions on Audio, Speech and Language Processing},
year = {2017},
}
If you use this package and/or its results, please cite the paper.
Installation
Follow our installation instructions. Then, using the Python interpreter provided by the distribution, bootstrap and buildout this package:
$ python bootstrap-buildout.py $ ./bin/buildout
Contact
For questions or reporting issues to this software package, contact our development mailing list.
Release files for bob.paper.taslp-2017 1.0.12
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| bob.paper.taslp_2017-1.0.12.zip | 6.8 MB | Details |
Release files / bob.paper.taslp_2017-1.0.12.zip
| Download URL | bob.paper.taslp_2017-1.0.12.zip |
|---|---|
| Size | 6.8 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
d7d5618a86796aa36bc8cca7b155fa06c1a8a5c3e14a24214f28f235f13f165c
|
|
BLAKE2b-256 checksum How to use checksums |
b08f253466ead1e2ae687014198229fa59c80b6f65d43db0886180e59dde2669
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |