Data selection by sequence summarizing neural network in mismatch condition training
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F16%3APU122426" target="_blank" >RIV/00216305:26230/16:PU122426 - isvavai.cz</a>
Result on the web
<a href="https://www.semanticscholar.org/paper/Data-Selection-by-Sequence-Summarizing-Neural-Zmol%C3%ADkov%C3%A1-Karafi%C3%A1t/bc1832e8b8d4e5edf987e1562b578bd9aa5e18a9" target="_blank" >https://www.semanticscholar.org/paper/Data-Selection-by-Sequence-Summarizing-Neural-Zmol%C3%ADkov%C3%A1-Karafi%C3%A1t/bc1832e8b8d4e5edf987e1562b578bd9aa5e18a9</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.21437/Interspeech.2016-741" target="_blank" >10.21437/Interspeech.2016-741</a>
Alternative languages
Result language
angličtina
Original language name
Data selection by sequence summarizing neural network in mismatch condition training
Original language description
Data augmentation is a simple and efficient technique to improve the robustness of a speech recognizer when deployed in mismatched training-test conditions. Our paper proposes a new approach for selecting data with respect to similarity of acoustic conditions. The similarity is computed based on a sequence summarizing neural network which extracts vectors containing acoustic summary (e.g. noise and reverberation characteristics) of an utterance. Several configurations of this network and different methods of selecting data using these "summary-vectors" were explored. The results are reported on a mismatched condition using AMI training set with the proposed data selection and CHiME3 test set.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
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)
Others
Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of Interspeech 2016
ISBN
978-1-5108-3313-5
ISSN
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e-ISSN
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Number of pages
5
Pages from-to
2354-2358
Publisher name
International Speech Communication Association
Place of publication
San Francisco
Event location
San Francisco
Event date
Sep 8, 2016
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000409394401175