Commit b54986f3 authored by Philip ABBET's avatar Philip ABBET

Add nist_sre12/3 (api change: beat.backend.python v1.4.2)

parent b59ab3fb
{
"description": "The NIST Speaker Recognition Evaluation 2012 (SRE'12)",
"root_folder": "/idiap/temp/ekhoury/NIST_DATA/DENOISED_FOR_BEAT",
"protocols": [
{
"name": "female",
"template": "advanced_speaker_recognition",
"sets": [
{
"name": "train",
"template": "train",
"view": "Train",
"parameters": {
"protocol": "core-c1",
"gender": "female"
},
"outputs": {
"file_id": "{{ system_user.username }}/text/1",
"client_id": "{{ system_user.username }}/text/1",
"speech": "{{ system_user.username }}/array_1d_floats/1"
}
},
{
"name": "dev_templates",
"template": "templates",
"view": "Templates",
"parameters": {
"protocol": "core-c1",
"gender": "female",
"group": "eval"
},
"outputs": {
"file_id": "{{ system_user.username }}/text/1",
"client_id": "{{ system_user.username }}/text/1",
"template_id": "{{ system_user.username }}/text/1",
"speech": "{{ system_user.username }}/array_1d_floats/1"
}
},
{
"name": "dev_probes",
"template": "probes",
"view": "Probes",
"parameters": {
"protocol": "core-c1",
"gender": "female",
"group": "eval"
},
"outputs": {
"file_id": "{{ system_user.username }}/text/1",
"probe_id": "{{ system_user.username }}/text/1",
"client_id": "{{ system_user.username }}/text/1",
"template_ids": "{{ system_user.username }}/array_1d_text/1",
"speech": "{{ system_user.username }}/array_1d_floats/1"
}
},
{
"name": "test_templates",
"template": "templates",
"view": "Templates",
"parameters": {
"protocol": "core-c2",
"gender": "female",
"group": "eval"
},
"outputs": {
"file_id": "{{ system_user.username }}/text/1",
"client_id": "{{ system_user.username }}/text/1",
"template_id": "{{ system_user.username }}/text/1",
"speech": "{{ system_user.username }}/array_1d_floats/1"
}
},
{
"name": "test_probes",
"template": "probes",
"view": "Probes",
"parameters": {
"protocol": "core-c2",
"gender": "female",
"group": "eval"
},
"outputs": {
"file_id": "{{ system_user.username }}/text/1",
"probe_id": "{{ system_user.username }}/text/1",
"client_id": "{{ system_user.username }}/text/1",
"template_ids": "{{ system_user.username }}/array_1d_text/1",
"speech": "{{ system_user.username }}/array_1d_floats/1"
}
}
]
},
{
"name": "male",
"template": "advanced_speaker_recognition",
"sets": [
{
"name": "train",
"template": "train",
"view": "Train",
"parameters": {
"protocol": "core-c1",
"gender": "male"
},
"outputs": {
"file_id": "{{ system_user.username }}/text/1",
"client_id": "{{ system_user.username }}/text/1",
"speech": "{{ system_user.username }}/array_1d_floats/1"
}
},
{
"name": "dev_templates",
"template": "templates",
"view": "Templates",
"parameters": {
"protocol": "core-c1",
"gender": "male",
"group": "eval"
},
"outputs": {
"file_id": "{{ system_user.username }}/text/1",
"client_id": "{{ system_user.username }}/text/1",
"template_id": "{{ system_user.username }}/text/1",
"speech": "{{ system_user.username }}/array_1d_floats/1"
}
},
{
"name": "dev_probes",
"template": "probes",
"view": "Probes",
"parameters": {
"protocol": "core-c1",
"gender": "male",
"group": "eval"
},
"outputs": {
"file_id": "{{ system_user.username }}/text/1",
"probe_id": "{{ system_user.username }}/text/1",
"client_id": "{{ system_user.username }}/text/1",
"template_ids": "{{ system_user.username }}/array_1d_text/1",
"speech": "{{ system_user.username }}/array_1d_floats/1"
}
},
{
"name": "test_templates",
"template": "templates",
"view": "Templates",
"parameters": {
"protocol": "core-c2",
"gender": "male",
"group": "eval"
},
"outputs": {
"file_id": "{{ system_user.username }}/text/1",
"client_id": "{{ system_user.username }}/text/1",
"template_id": "{{ system_user.username }}/text/1",
"speech": "{{ system_user.username }}/array_1d_floats/1"
}
},
{
"name": "test_probes",
"template": "probes",
"view": "Probes",
"parameters": {
"protocol": "core-c2",
"gender": "male",
"group": "eval"
},
"outputs": {
"file_id": "{{ system_user.username }}/text/1",
"probe_id": "{{ system_user.username }}/text/1",
"client_id": "{{ system_user.username }}/text/1",
"template_ids": "{{ system_user.username }}/array_1d_text/1",
"speech": "{{ system_user.username }}/array_1d_floats/1"
}
}
]
}
]
}
This diff is collapsed.
.. Copyright (c) 2017 Idiap Research Institute, http://www.idiap.ch/ ..
.. Contact: beat.support@idiap.ch ..
.. ..
.. This file is part of the beat.examples module of the BEAT platform. ..
.. ..
.. Commercial License Usage ..
.. Licensees holding valid commercial BEAT licenses may use this file in ..
.. accordance with the terms contained in a written agreement between you ..
.. and Idiap. For further information contact tto@idiap.ch ..
.. ..
.. Alternatively, this file may be used under the terms of the GNU Affero ..
.. Public License version 3 as published by the Free Software and appearing ..
.. in the file LICENSE.AGPL included in the packaging of this file. ..
.. The BEAT platform is distributed in the hope that it will be useful, but ..
.. WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY ..
.. or FITNESS FOR A PARTICULAR PURPOSE. ..
.. ..
.. You should have received a copy of the GNU Affero Public License along ..
.. with the BEAT platform. If not, see http://www.gnu.org/licenses/. ..
---------------------------------------------------
2012 NIST Speaker Recognition Evaluation Database
---------------------------------------------------
Changelog
=========
* **Version 3**, 31/Oct/2017:
- Port to beat.backend.python v1.4.2
* **Version 2**, 26/Jan/2016:
- Port to Bob v2
* **Version 1**, 08/Apr/2015:
- Initial release
Description
===========
This interface implements the core protocol used for the `NIST SRE 2012 <http://www.nist.gov/itl/iad/mig/sre12.cfm>`_.
`bob.db.nist_sre12 <https://pypi.python.org/pypi/bob.db.nist_sre12>`_ defines a
speaker recognition protocol that uses data from several corpora: Fisher,
Siwtchboard, SRE 04, SRE 05, SRE 06, SRE 08, SRE 10 and SRE 12 . Details on
how the development data is split can be found in: R. Saeidi et al., I4U
Submission to NIST SRE 2012: a large-scale collaborative effort for
noise-robust speaker verification, INTERSPEECH, 2013.
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