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1 | This example demonstrates a traditional iVector system evaluated on NIST | ||
2 | SRE 2016. It is based on the recipe in ../../sre10/v1/. In addition to the | ||
3 | standard features of the SRE10 recipe, it also demonstrates the use of data | ||
4 | augmentation for PLDA training. | ||
5 | |||
6 | The recipe uses the following data for system development. This is in | ||
7 | addition to the NIST SRE 2016 dataset used for evaluation (see ../README.txt). | ||
8 | |||
9 | Corpus LDC Catalog No. | ||
10 | SWBD2 Phase 1 LDC98S75 | ||
11 | SWBD2 Phase 2 LDC99S79 | ||
12 | SWBD2 Phase 3 LDC2002S06 | ||
13 | SWBD Cellular 1 LDC2001S13 | ||
14 | SWBD Cellular 2 LDC2004S07 | ||
15 | SRE2004 LDC2006S44 | ||
16 | SRE2005 Train LDC2011S01 | ||
17 | SRE2005 Test LDC2011S04 | ||
18 | SRE2006 Train LDC2011S09 | ||
19 | SRE2006 Test 1 LDC2011S10 | ||
20 | SRE2006 Test 2 LDC2012S01 | ||
21 | SRE2008 Train LDC2011S05 | ||
22 | SRE2008 Test LDC2011S08 | ||
23 | SRE2010 Eval LDC2017S06 | ||
24 | Mixer 6 LDC2013S03 | ||
25 | |||
26 | The following datasets are used in data augmentation. | ||
27 | |||
28 | MUSAN http://www.openslr.org/17 | ||
29 | RIR_NOISES http://www.openslr.org/28 | ||