PocketEAR: An Assistive Sound Classification System for Hearing-Impaired
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F19%3A43955841" target="_blank" >RIV/49777513:23520/19:43955841 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-030-26061-3" target="_blank" >http://dx.doi.org/10.1007/978-3-030-26061-3</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-030-26061-3" target="_blank" >10.1007/978-3-030-26061-3</a>
Alternative languages
Result language
angličtina
Original language name
PocketEAR: An Assistive Sound Classification System for Hearing-Impaired
Original language description
This paper describes the design and operation of an assistive system called PocketEAR which is primarily targeted towards hearing-impaired users. It helps them with orientation in acoustically active environments by continuously monitoring and classifying the incoming sounds and displaying the captured sound classes to the users. The environmental sound recognizer is designed as a two-stage deep convolutional neural network classifier (consists of the so-called superclassifier and a set of the so-called subclassifiers) fed with sequences of MFCC vectors. It is wrapped in a distributed client-server system where the sound capturing in terrain, (pre)processing and displaying of the classication results are performed by instances of a mobile client application, and the actual classication and maintenance are carried out by two co-operating servers. The paper discusses in details the architecture of the environmental sound classier as well as the used task-specific sound processing
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
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Speech and Computer
ISBN
978-3-030-26060-6
ISSN
0302-9743
e-ISSN
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Number of pages
11
Pages from-to
82-92
Publisher name
Springer
Place of publication
Cham
Event location
Istanbul
Event date
Aug 20, 2019
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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