Faculty of Information Technology, BUT

Publication Details

Analysis and Description of ABC Submission to NIST SRE 2016

PLCHOT Oldřich, MATĚJKA Pavel, SILNOVA Anna, NOVOTNÝ Ondřej, DIEZ Sánchez Mireia, ROHDIN Johan A., GLEMBEK Ondřej, BRÜMMER Niko, SWART Albert du Preez, PRIETO Jesús J., GARCIA Perera Leibny Paola, BUERA Luis, KENNY Patrick, ALAM Jahangir and BHATTACHARYA Gautam. Analysis and Description of ABC Submission to NIST SRE 2016. In: Proceedings of Interspeech 2017. Stockholm: International Speech Communication Association, 2017, pp. 1348-1352. ISSN 1990-9772. Available from: http://www.isca-speech.org/archive/Interspeech_2017/pdfs/1498.PDF
Czech title
Analýza a popis ABC systému pro NIST SRE 2016
Type
conference paper
Language
english
Authors
Plchot Oldřich, Ing., Ph.D. (DCGM FIT BUT)
Matějka Pavel, Ing., Ph.D. (DCGM FIT BUT)
Silnova Anna, MSc. (DCGM FIT BUT)
Novotný Ondřej, Ing. (DCGM FIT BUT)
Diez Sánchez Mireia, M.Sc., Ph.D. (DCGM FIT BUT)
Rohdin Johan A., Dr. (DCGM FIT BUT)
Glembek Ondřej, Ing., Ph.D. (DCGM FIT BUT)
Brümmer Niko (Agnitio)
Swart Albert du Preez (Agnitio)
Prieto Jesús J. (Agnitio)
Garcia Perera Leibny Paola (Agnitio)
Buera Luis, Dr. (NUANCE)
Kenny Patrick (CRIM)
Alam Jahangir (CRIM)
Bhattacharya Gautam (CRIM)
URL
Keywords
speaker recognition, i-vector, DNN, fusion
Abstract
This article is about the analysis and description of ABC Submission to NIST SRE 2016.We have presented various sytems of the ABC team that are designed to cope with dataset mismatch and non-English data. We have presented and compared several fusion and calibration strategies and we have uncovered and discussed problems brought by SRE16.
Annotation
We present a condensed description and analysis of the joint submission for NIST SRE 2016, by Agnitio, BUT and CRIM (ABC). We concentrate on challenges that arose during development and we analyze the results obtained on the evaluation data and on our development sets. We show that testing on mismatched, non-English and short duration data introduced in NIST SRE 2016 is a difficult problem for current state-of-theart systems. Testing on this data brought back the issue of score normalization and it also revealed that the bottleneck features (BN), which are superior when used for telephone English, are lacking in performance against the standard acoustic features like Mel Frequency Cepstral Coefficients (MFCCs). We offer ABCs insights, findings and suggestions for building a robust system suitable for mismatched, non-English and relatively noisy data such as those in NIST SRE 2016.
Published
2017
Pages
1348-1352
Journal
Proceedings of Interspeech, vol. 2017, no. 8, ISSN 1990-9772
Proceedings
Proceedings of Interspeech 2017
Conference
Interspeech 2017, Stockholm, SE
Publisher
International Speech Communication Association
Place
Stockholm, SE
DOI
BibTeX
@INPROCEEDINGS{FITPUB11581,
   author = "Old\v{r}ich Plchot and Pavel Mat\v{e}jka and Anna Silnova and Ond\v{r}ej Novotn\'{y} and Mireia S\'{a}nchez Diez and A. Johan Rohdin and Ond\v{r}ej Glembek and Niko Br\"{u}mmer and Preez du Albert Swart and J. Jes\'{u}s Prieto and Paola Leibny Perera Garcia and Luis Buera and Patrick Kenny and Jahangir Alam and Gautam Bhattacharya",
   title = "Analysis and Description of ABC Submission to NIST SRE 2016",
   pages = "1348--1352",
   booktitle = "Proceedings of Interspeech 2017",
   journal = "Proceedings of Interspeech",
   volume = 2017,
   number = 08,
   year = 2017,
   location = "Stockholm, SE",
   publisher = "International Speech Communication Association",
   ISSN = "1990-9772",
   doi = "10.21437/Interspeech.2017-1498",
   language = "english",
   url = "https://www.fit.vut.cz/research/publication/11581"
}
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