KWDOA: Adapted dataset for detection of the direction of arrival of the keyword

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F24%3A43969565" target="_blank" >RIV/49777513:23520/24:43969565 - isvavai.cz</a>
Alternative codes found
RIV/00216208:11320/25:UW9WYKMC
Result on the web
<a href="https://easychair.org/publications/open/vsB3p" target="_blank" >https://easychair.org/publications/open/vsB3p</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.29007/5k86" target="_blank" >10.29007/5k86</a>

Result language
angličtina
Original language name
KWDOA: Adapted dataset for detection of the direction of arrival of the keyword
Original language description
This paper describes a simulated audio dataset of spoken words which accommodate microphone array design for training and evaluating keywords spotting systems. With this dataset you could train a neural network for the detection direction of the speaker.Which is an advanced version of the original, with added noises during a speech in random locations and different rooms with different reverb. Hence it should be closer to r eal-world long-range applications. This task could be a new challenge for the direction of arrivalactivated by keyword spotting systems. Let’s call this task KWDOA. This dataset could serve as the intro level for microphone array designs.
Czech name
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Czech description
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Project
<a href="/en/project/VJ01010108" target="_blank" >VJ01010108: Robust processing of recordings for operations and security</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
EPiC Series in Computing. Proceedings of 36th International Conference on Computer Applications in Industry and Engineering
ISBN
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ISSN
2398-7340
e-ISSN
2398-7340
Number of pages
8
Pages from-to
30-37
Publisher name
EasyChair
Place of publication
United Kingdom
Event location
online
Event date
Oct 16, 2023
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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