Článek ve sborníku konference

MATĚJKA Pavel, NOVOTNÝ Ondřej, PLCHOT Oldřich, BURGET Lukáš, DIEZ Sánchez Mireia a ČERNOCKÝ Jan. Analysis of Score Normalization in Multilingual Speaker Recognition. In: Proceedings of Interspeech 2017. Stockholm: International Speech Communication Association, 2017, s. 1567-1571. ISSN 1990-9772. Dostupné z: http://www.isca-speech.org/archive/Interspeech_2017/pdfs/0803.PDF
Jazyk publikace:angličtina
Název publikace:Analysis of Score Normalization in Multilingual Speaker Recognition
Název (cs):Analýza normalizace skóre v multilingválním rozpoznávání mluvčího
Strany:1567-1571
Sborník:Proceedings of Interspeech 2017
Konference:Interspeech 2017
Místo vydání:Stockholm, SE
Rok:2017
URL:http://www.isca-speech.org/archive/Interspeech_2017/pdfs/0803.PDF
Časopis:Proceedings of Interspeech, roč. 2017, č. 08, FR
ISSN:1990-9772
DOI:10.21437/Interspeech.2017-803
Vydavatel:International Speech Communication Association
URL:http://www.fit.vutbr.cz/research/groups/speech/publi/2017/matejka_interspeech2017_IS170803.pdf [PDF]
Klíčová slova
speaker recognition, score normalization
Anotace
Článek pojednává o analýze normalizace skóre v multilingválním rozpoznávání mluvčího. V tomto článku je porovnáváno několik normalizačních technik.
Abstrakt
NIST Speaker Recognition Evaluation 2016 has revealed the importance of score normalization for mismatched data conditions. This paper analyzes several score normalization techniques for test conditions with multiple languages. The best performing one for a PLDA classifier is an adaptive s-norm with 30% relative improvement over the system without any score normalization. The analysis shows that the adaptive score normalization (using top scoring files per trial) selects cohorts that in 68% contain recordings from the same language and in 92% of the same gender as the enrollment and test recordings. Our results suggest that the data to select score normalization cohorts should be a pool of several languages and channels and if possible, its subset should contain data from the target domain.
BibTeX:
@INPROCEEDINGS{
   author = {Pavel Mat{\v{e}}jka and Ond{\v{r}}ej Novotn{\'{y}}
	and Old{\v{r}}ich Plchot and Luk{\'{a}}{\v{s}}
	Burget and Mireia S{\'{a}}nchez Diez and Jan
	{\v{C}}ernock{\'{y}}},
   title = {Analysis of Score Normalization in Multilingual
	Speaker Recognition},
   pages = {1567--1571},
   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.2017-803},
   language = {english},
   url = {http://www.fit.vutbr.cz/research/view_pub.php.cs?id=11580}
}

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