Sequence Summarizing Neural Network for Speaker Adaptation

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F16%3APU121620" target="_blank" >RIV/00216305:26230/16:PU121620 - isvavai.cz</a>

Result on the web

<a href="http://www.fit.vutbr.cz/research/pubs/all.php?id=11145" target="_blank" >http://www.fit.vutbr.cz/research/pubs/all.php?id=11145</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/ICASSP.2016.7472692" target="_blank" >10.1109/ICASSP.2016.7472692</a>

Result language

angličtina

Original language name

Sequence Summarizing Neural Network for Speaker Adaptation

Original language description

In this paper, we proposed an alternative method to produce DNN adaptation vectors similar to i-vectors. The vectors are computed by the Sequence Summarizing Neural Network and characterize the acoustics in an utterance.

Czech name

—

Czech description

—

Type

D - Article in proceedings

CEP classification

—

OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

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 the 41th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2016), 2016

ISBN

978-1-4799-9988-0

ISSN

—

e-ISSN

—

Number of pages

5

Pages from-to

5315-5319

Publisher name

IEEE Signal Processing Society

Place of publication

Shanghai

Event location

Shanghai

Event date

Mar 20, 2016

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

000388373405093