Isolated word automatic speech recognition system
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F20%3A10245885" target="_blank" >RIV/61989100:27240/20:10245885 - isvavai.cz</a>
Alternative codes found
RIV/61989100:27740/20:10245885
Result on the web
<a href="https://link.springer.com/chapter/10.1007/978-3-030-59000-0_19" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-030-59000-0_19</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-030-59000-0_19" target="_blank" >10.1007/978-3-030-59000-0_19</a>
Alternative languages
Result language
angličtina
Original language name
Isolated word automatic speech recognition system
Original language description
The paper is devoted to an isolated word automatic speech recognition. The first part deals with a theoretical description of methods for speech signal processing and algorithms which can be used for automatic speech recognition such as a dynamic time warping, hidden Markov models and deep neural networks. The practical part is focused on the description of the proposal which is based on convolutional neural networks (CNN). The system was designed and implemented in Python using Keras and TensorFlow frameworks. An open audio dataset of spoken words was used for training and testing. A contribution of the paper lies in the specific proposal using CNN for automatic speech recognition and its validation. The presented results show that the proposed approach is able to achieve 94% accuracy. (C) Springer Nature Switzerland AG 2020.
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
20203 - Telecommunications
Result continuities
Project
<a href="/en/project/LM2018140" target="_blank" >LM2018140: e-Infrastructure CZ</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Communications in Computer and Information Science. Volume 1284
ISBN
978-3-030-58999-8
ISSN
1865-0929
e-ISSN
1865-0937
Number of pages
13
Pages from-to
252-264
Publisher name
Springer
Place of publication
Cham
Event location
Krakov
Event date
Oct 8, 2020
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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