Using Deep Neural Networks for Identification of Slavic Languages from Acoustic Signal

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F46747885%3A24220%2F18%3A00006130" target="_blank" >RIV/46747885:24220/18:00006130 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.21437/Interspeech.2018-1165" target="_blank" >http://dx.doi.org/10.21437/Interspeech.2018-1165</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.21437/Interspeech.2018-1165" target="_blank" >10.21437/Interspeech.2018-1165</a>

Result language
angličtina
Original language name
Using Deep Neural Networks for Identification of Slavic Languages from Acoustic Signal
Original language description
This paper investigates the use of deep neural networks (DNNs) for the task of spoken language identification. Various feed-forward fully connected, convolutional and recurrent DNN architectures are adopted and compared against a baseline i-vector based system. Moreover, DNNs are also utilized for extraction of bottleneck features from the input signal. The dataset used for experimental evaluation contains utterances belonging to languages that are all related to each other and sometimes hard to distinguish even for human listeners: it is compiled from recordings of the 11 most widespread Slavic languages. We also released this Slavic dataset to the general public, because a similar collection is not publicly available through any other source. The best results were yielded by a bidirectional recurrent DNN with gated recurrent units that was fed by bottleneck features. In this case, the baseline ER was reduced from 4.2% to 1.2% and Cavg from 2.3% to 0.6%. © 2018 International Speech Communication Association. All rights reserved.
Czech name
—
Czech description
—

Project
<a href="/en/project/TH03010018" target="_blank" >TH03010018: DeepSpot - Multilingual technology for spotting and instant alerting</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH
ISBN
—
ISSN
2308-457X
e-ISSN
—
Number of pages
5
Pages from-to
1803-1807
Publisher name
ISCA
Place of publication
Indie
Event location
Hyderabad, India
Event date
Jan 1, 2018
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
—

Similar results(10)