Analysis and Optimization of Bottleneck Features for Speaker Recognition

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F16%3APU121658" target="_blank" >RIV/00216305:26230/16:PU121658 - isvavai.cz</a>

Result on the web

<a href="http://www.odyssey2016.org/papers/pdfs_stamped/54.pdf" target="_blank" >http://www.odyssey2016.org/papers/pdfs_stamped/54.pdf</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.21437/Odyssey.2016-51" target="_blank" >10.21437/Odyssey.2016-51</a>

Result language

angličtina

Original language name

Analysis and Optimization of Bottleneck Features for Speaker Recognition

Original language description

In this work, we studied whether not fully optimized networks trained for ASR could provide better bottleneck features for speaker recognition. Then, we analyzed the influence of different aspects (input features, short-term mean and variance normalization, "under-trained" DNNs) when training DNNs to optimize the performance of speaker recognition systems based on bottleneck features.We evaluated the performance of the resulting bottleneck features in the NIST SRE10, condition 5, female task.

Czech name

—

Czech description

—

Type

D - Article in proceedings

CEP classification

IN - Informatics

OECD FORD branch

—

Project

Result was created during the realization of more than one project. More information in the Projects tab.

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2016

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

Proceedings of Odyssey 2016

ISBN

—

ISSN

2312-2846

e-ISSN

—

Number of pages

6

Pages from-to

352-357

Publisher name

International Speech Communication Association

Place of publication

Bilbao

Event location

Bilbao

Event date

Jun 21, 2016

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

—