Filters
cris logo
-
New search Filters
Select from list
Displayed from Show more
You have reached the maximum number of displayed search results.
All results displayed
No results are available for the search performed
Displayed from
You have reached the maximum number of displayed search results.
All results displayed
Loading results
Obtaining statistical data

Projects / Programmes source: ARIS

Media Server - IVR: Isolated Word Speech Recognition System

Edit
Research activity

Code Science Field Subfield
2.08.00  Engineering sciences and technologies  Telecommunications   

Code Science Field
T180  Technological sciences  Telecommunication engineering 
Keywords
media server, automatic speech recognition, isolated word recognition
Evaluation (rules)
source: COBISS
Evaluation of bibliographic research performance indicators according to ARIS methodology
Citations Citations for bibliographic records in COBIB.SI that are linked to records in citation databases
source: WoS source: Scopus source: COBISS
Researchers (6)
no. Code Name and surname Research area Role Period No. of publications
1.  20031  PhD Vladimir Hozjan  Computer science and informatics  Researcher  2004 - 2005  35 
2.  06821  PhD Zdravko Kačič  Telecommunications  Head  2004 - 2006  705 
3.  21303  PhD Bojan Kotnik  Electronic components and technologies  Researcher  2005 - 2006  112 
4.  18876  PhD Matej Rojc  Telecommunications  Researcher  2004 - 2006  247 
5.  22290  PhD Damjan Vlaj  Telecommunications  Researcher  2004 - 2006  165 
6.  20032  PhD Andrej Žgank  Telecommunications  Researcher  2005 - 2006  241 
Organisations (1)
no. Code Research organisation City Registration number No. of publications
1.  0796  University of Maribor, Faculty of Electrical Engineering and Computer Science  Maribor  5089638003  27,541 
Abstract
Development of isolated word recognition system. The developed recognition system for Slovenian language will fulfill the criteria for optimal memory management and processing power requirements, scalability of used vocabulary and multichannel use of recogniser on a same hardware platform in real time. The developed system will be modular thus enabling easy upgrade and extension. It will use the continuous hidden Markov models for acoustic modelling. In parallel with developed speech recognition system different tools for integration of recogniser into media server and connection and communication with media gateway, configuration of recogniser, generation of basic grammar and appropriate language inventory will be developed.
Confirmation required
Views history
Favourite