From 003ad8c52d1889649d77db15f90a1e40922a6c5f Mon Sep 17 00:00:00 2001
From: Amir Mohammadi <183.amir@gmail.com>
Date: Sun, 9 Apr 2017 18:55:44 +0200
Subject: [PATCH] Remove banca filelist based since bob.db.banca exists, fixes
#9
---
.../database/banca/G/dev/for_models.lst | 78 ---
.../database/banca/G/dev/for_scores.lst | 546 ------------------
.../database/banca/G/eval/for_models.lst | 78 ---
.../database/banca/G/eval/for_scores.lst | 546 ------------------
.../banca/G/norm/train_optional_world_1.lst | 60 --
.../banca/G/norm/train_optional_world_2.lst | 60 --
.../database/banca/G/norm/train_world.lst | 60 --
.../spear/config/database/banca_audio_G.py | 14 -
bob/bio/spear/test/test_databases.py | 9 -
doc/baselines.rst | 26 +-
doc/links.rst | 1 -
setup.py | 5 +-
12 files changed, 9 insertions(+), 1474 deletions(-)
delete mode 100644 bob/bio/spear/config/database/banca/G/dev/for_models.lst
delete mode 100644 bob/bio/spear/config/database/banca/G/dev/for_scores.lst
delete mode 100644 bob/bio/spear/config/database/banca/G/eval/for_models.lst
delete mode 100644 bob/bio/spear/config/database/banca/G/eval/for_scores.lst
delete mode 100644 bob/bio/spear/config/database/banca/G/norm/train_optional_world_1.lst
delete mode 100644 bob/bio/spear/config/database/banca/G/norm/train_optional_world_2.lst
delete mode 100644 bob/bio/spear/config/database/banca/G/norm/train_world.lst
delete mode 100644 bob/bio/spear/config/database/banca_audio_G.py
diff --git a/bob/bio/spear/config/database/banca/G/dev/for_models.lst b/bob/bio/spear/config/database/banca/G/dev/for_models.lst
deleted file mode 100644
index 5a8f339..0000000
--- a/bob/bio/spear/config/database/banca/G/dev/for_models.lst
+++ /dev/null
@@ -1,78 +0,0 @@
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diff --git a/bob/bio/spear/config/database/banca/G/dev/for_scores.lst b/bob/bio/spear/config/database/banca/G/dev/for_scores.lst
deleted file mode 100644
index 4ada58c..0000000
--- a/bob/bio/spear/config/database/banca/G/dev/for_scores.lst
+++ /dev/null
@@ -1,546 +0,0 @@
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diff --git a/bob/bio/spear/config/database/banca/G/eval/for_models.lst b/bob/bio/spear/config/database/banca/G/eval/for_models.lst
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diff --git a/bob/bio/spear/config/database/banca/G/eval/for_scores.lst b/bob/bio/spear/config/database/banca/G/eval/for_scores.lst
deleted file mode 100644
index 9ed4834..0000000
--- a/bob/bio/spear/config/database/banca/G/eval/for_scores.lst
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diff --git a/bob/bio/spear/config/database/banca/G/norm/train_optional_world_1.lst b/bob/bio/spear/config/database/banca/G/norm/train_optional_world_1.lst
deleted file mode 100644
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diff --git a/bob/bio/spear/config/database/banca/G/norm/train_optional_world_2.lst b/bob/bio/spear/config/database/banca/G/norm/train_optional_world_2.lst
deleted file mode 100644
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diff --git a/bob/bio/spear/config/database/banca/G/norm/train_world.lst b/bob/bio/spear/config/database/banca/G/norm/train_world.lst
deleted file mode 100644
index e657806..0000000
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diff --git a/bob/bio/spear/config/database/banca_audio_G.py b/bob/bio/spear/config/database/banca_audio_G.py
deleted file mode 100644
index d8863f0..0000000
--- a/bob/bio/spear/config/database/banca_audio_G.py
+++ /dev/null
@@ -1,14 +0,0 @@
-#!/usr/bin/env python
-
-import pkg_resources
-import bob.bio.base
-from bob.bio.spear.database import AudioBioFile
-
-banca_wav_directory = "[YOUR_BANCA_WAV_DIRECTORY]"
-
-database = bob.bio.base.database.FileListBioDatabase(pkg_resources.resource_filename('bob.bio.spear', 'config/database/banca'),
- 'banca',
- bio_file_class=AudioBioFile,
- protocol='G',
- original_directory=banca_wav_directory,
- original_extension=".wav")
diff --git a/bob/bio/spear/test/test_databases.py b/bob/bio/spear/test/test_databases.py
index 4c88dc3..c60df0a 100644
--- a/bob/bio/spear/test/test_databases.py
+++ b/bob/bio/spear/test/test_databases.py
@@ -103,12 +103,3 @@ def test_timit():
except IOError as e:
raise SkipTest(
"The database could not queried; probably the db.sql3 file is missing. Here is the error: '%s'" % e)
-
-
-def test_banca():
- database = bob.bio.base.load_resource('banca-audio', 'database', preferred_package='bob.bio.spear')
- try:
- check_database(database, groups=('dev', 'eval'))
- except IOError as e:
- raise SkipTest(
- "The database could not queried; probably the db.sql3 file is missing. Here is the error: '%s'" % e)
diff --git a/doc/baselines.rst b/doc/baselines.rst
index 242fe4a..b3d2b7d 100644
--- a/doc/baselines.rst
+++ b/doc/baselines.rst
@@ -90,11 +90,13 @@ Particularly, here we can enable ROC curves, DET plots, CMC curves and the compu
Experiments on different databases
--------------------------------------------------------
-To make you more familiar with the tool, we provide you examples of different toolchains applied on different databases: Voxforge, BANCA, TIMIT, MOBIO, and NIST SRE 2012.
+To make you more familiar with the tool, we provide you examples of different toolchains applied on different databases: Voxforge, TIMIT, MOBIO, and NIST SRE 2012.
+1. Voxforge dataset
+~~~~~~~~~~~~~~~~~~~
`Voxforge`_ is a free database used in free speech recognition engines. We randomly selected a small part of the english corpus (< 1GB). It is used as a toy example for our speaker recognition tool since experiment can be easily run on a local machine, and the results can be obtained in a reasonnable amount of time (< 2h).
-Unlike TIMIT and BANCA, this dataset is completely free of charge.
+Unlike TIMIT, this dataset is completely free of charge.
More details about how to download the audio files used in our experiments, and how the data is split into Training, Development and Evaluation set can be found here::
@@ -161,21 +163,7 @@ The scoring computation can also be done using **PLDA**::
Note that in the previous examples, our goal is not to optimize the parameters on the DEV set but to provide examples of use.
-2. BANCA dataset
-~~~~~~~~~~~~~~~~
-`BANCA`_ is a simple bimodal database with relatively clean data. The results are already very good with a simple baseline UBM-GMM system. An example of use can be::
-
- $ bin/verify.py -vv -d banca-audio -p energy-2gauss -e mfcc-60 -a gmm-banca -s banca_G --groups {dev,eval}
-
-The configuration in this example is similar to the previous one with the only difference of using the regular LLR instead of its linear approximation.
-
-Here is the performance of this system:
-
-* ``DEV: EER = 0.91%``
-* ``EVAL: EER = 0.75%``
-
-
-3. TIMIT dataset
+2. TIMIT dataset
~~~~~~~~~~~~~~~~
`TIMIT`_ is one of the oldest databases (year 1993) used to evaluate speaker recognition systems. In the following example, the processing is done on the development set, and LFCC features are used::
@@ -186,7 +174,7 @@ Here is the performance of the system on the Development set:
* ``DEV: EER = 2.68%``
-4. MOBIO dataset
+3. MOBIO dataset
~~~~~~~~~~~~~~~~
This is a more challenging database. The noise and the short duration of the segments make the task of speaker recognition relatively difficult. The following experiment on male group (Mobile-0) uses the 4Hz modulation energy based VAD, and the ISV (with dimU=50) modelling technique::
@@ -200,7 +188,7 @@ Here is the performance of this system:
To generate the results presented in the ICASSP 2014 paper, please check the script included in the `icassp` folder of the toolbox.
Note that the MOBIO dataset has different protocols, and that are all implemented in `bob.db.mobio`_. But in this toolbox, we provide separately mobile-0 protocol (into filelist format) for simplicity.
-5. NIST SRE 2012
+4. NIST SRE 2012
~~~~~~~~~~~~~~~~~~
We first invite you to read the paper describing our system submitted to the NIST SRE 2012 Evaluation. The protocols on the development set are the results of a joint work by the I4U group. To reproduce the results, please check this dedicated package::
diff --git a/doc/links.rst b/doc/links.rst
index 3a5cf1a..712473a 100644
--- a/doc/links.rst
+++ b/doc/links.rst
@@ -21,7 +21,6 @@
.. _virtualbox: https://www.virtualbox.org
.. _hdf5: http://www.hdfgroup.org/HDF5
.. _Voxforge: http://www.voxforge.org/
-.. _BANCA: http://www.ee.surrey.ac.uk/CVSSP/banca/
.. _TIMIT: http://www.ldc.upenn.edu/Catalog/catalogEntry.jsp?catalogId=LDC93S1
.. _logistic regression: http://en.wikipedia.org/wiki/Logistic_regression
.. _spear: https://pypi.python.org/pypi/bob.bio.spear
diff --git a/setup.py b/setup.py
index 47b9654..f45d43e 100644
--- a/setup.py
+++ b/setup.py
@@ -100,7 +100,6 @@ setup(
entry_points = {
'bob.bio.database': [
- 'banca-audio = bob.bio.spear.config.database.banca_audio_G:database',
'timit = bob.bio.spear.config.database.timit:database',
'mobio-audio-male = bob.bio.spear.config.database.mobio_audio_male:database',
'mobio-audio-female = bob.bio.spear.config.database.mobio_audio_female:database',
@@ -117,7 +116,7 @@ setup(
'bob.bio.preprocessor': [
'cqcc20p = bob.bio.spear.config.extractor.cqcc20:cqcc20', # Empty preprocessor for CQCC features
'energy-2gauss = bob.bio.spear.config.preprocessor.energy_2gauss:preprocessor', # two Gauss energy
- 'energy-thr = bob.bio.spear.config.preprocessor.energy_thr:preprocessor', # thresholded energy
+ 'energy-thr = bob.bio.spear.config.preprocessor.energy_thr:preprocessor', # thresholded energy
'mod-4hz = bob.bio.spear.config.preprocessor.mod_4hz:preprocessor', # mod_4hz
'external = bob.bio.spear.config.preprocessor.external:preprocessor', # external VAD
],
@@ -162,7 +161,7 @@ setup(
# the same as above but with smaller thresholds
'gmm-tomi-scfc = bob.bio.spear.config.algorithm.gmm_tomi_scfc:algorithm',
],
-
+
'bob.bio.grid':[
'demanding = bob.bio.spear.config.grid.demanding:grid',
'modest = bob.bio.spear.config.grid.modest:grid',
--
GitLab