Voice-driven Computer Game in Noisy Environments

Artur Janicki , Dariusz Wawer


The paper describes the performance of a task-oriented continuous automatic speech recognition (ASR) system in the computer game interface in noisy conditions. First, the process of designing the ASR system for Polish, based on CMU Sphinx4, is presented. Then, the concept of the computer game called Rally Navigator is described. The experiments were �rst run for the clean speech, and then repeated with added environmental noise with various signal-to-noise (SNR) ratios. Results of experiments with clean speech show that as little as 15 minutes of audio material is enough to produce a highly e�ec- tive single-speaker command-and-control ASR system for the computer game, providing the sentence recognition accuracy of 97.6%. Results of the tests under noisy conditions show that minor degradation of performance was observed in car environment, however, accuracy decreased severely for babble and factory noises for SNR below 20 dB.
Author Artur Janicki (FEIT / IT)
Artur Janicki,,
- The Institute of Telecommunications
, Dariusz Wawer (FEIT / IT)
Dariusz Wawer,,
- The Institute of Telecommunications
Journal seriesInternational Journal of Computer Science & Applications, ISSN 0972-9038
Issue year2013
Keywords in Englishspeech recognition; voice interface; computer game; noise
ASJC Classification1706 Computer Science Applications
URL http://www.tmrfindia.org/ijcsa/v10i13.pdf
ProjectThe Develpment of Digital Communicatios. Project leader: Lubacz Józef, , Phone: 22 234 65 31, start date 04-05-2012, planned end date 31-03-2013, end date 31-12-2013, IT/2012/statut, Completed
WEiTI Działalność statutowa
Languageen angielski
Janicki, Wawer, Voice-driven computer game in noisy environments, IJCSA, 2013.pdf 5.6 MB
Score (nominal)0
Score sourcejournalList
ScoreMinisterial score = 0.0, 02-05-2020, ArticleFromJournal
Ministerial score (2013-2016) = 0.0, 02-05-2020, ArticleFromJournal
Publication indicators Scopus Citations = 1; GS Citations = 3.0; Scopus SNIP (Source Normalised Impact per Paper): 2013 = 0.618
Citation count*4 (2020-09-02)
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