On a Hybrid NN/HMM Speech Recognition System with a RNN-Based Language Model
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F14%3A43922933" target="_blank" >RIV/49777513:23520/14:43922933 - isvavai.cz</a>
Result on the web
<a href="http://link.springer.com/content/pdf/10.1007%2F978-3-319-11581-8_39.pdf" target="_blank" >http://link.springer.com/content/pdf/10.1007%2F978-3-319-11581-8_39.pdf</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-11581-8_39" target="_blank" >10.1007/978-3-319-11581-8_39</a>
Alternative languages
Result language
angličtina
Original language name
On a Hybrid NN/HMM Speech Recognition System with a RNN-Based Language Model
Original language description
In this paper, we present a new NN/HMM speech recognition system with a NN-base acoustic model and RNN-based language model. The employed neural-network-based acoustic model computes posteriors for states of context-dependent acoustic units. A recurrentneural network with the maximum entropy extension was used as a language model. This hybrid NN/HMM system was compared with our previous hybrid NN/HMM system equipped with a standard n-gram language model. In our experiments, we also compared it to a standard GMM/HMM system. The system performance was evaluated on the British English speech corpus and compared with some previous work.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JD - Use of computers, robotics and its application
OECD FORD branch
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Result continuities
Project
<a href="/en/project/DF12P01OVV022" target="_blank" >DF12P01OVV022: ASR- and MT-based Access to a Large Archive of Cultural Heritage (AMALACH)</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2014
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, 16th International Conference, SPECOM 2014, Novi Sad, Serbia, October 5-9, 2014, Proceedings
ISBN
978-3-319-11580-1
ISSN
0302-9743
e-ISSN
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Number of pages
7
Pages from-to
315-321
Publisher name
Springer
Place of publication
Heidelberg
Event location
Novi Sad, Serbia
Event date
Oct 5, 2014
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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