Artificial intelligence

Scientific journal

ISSN 2710-1673

ONLINE: ISSN 2710-1681

Select your language


A mobile robot voice control based on the FCAS cognitive model

Sharii T.1
1 Donetsk National University

Full text (PDF)

UDC: 004.934
Publication Language: Russian
Stuc. intelekt. 2014; 19(2):75–84

Abstract: The article deals with the task of speaker-independent voice control command recognition under the real conditions. The lightweight fuzzy cognitive model FCAS is used at the stage of a speech signal postprocessing. The use of the model is experimentally grounded.

Keywords: FCAS, cognitive model, phonological feature, prosody

References:

  1. Niculescu A. Making Social Robots More Attractive: The Effects of Voice Pitch, Humor and Empathy /A.Niculescu, B. van Dijk, A. Nijholt, H. Li, S.L.See // International Journal of Social Robotics. – 2013. –Vol.5(2). – P.171-191.
  2. Valin J. Robust Recognition of Simultaneous Speech by a Mobile Robot / J.Valin, S.Yamamoto, J.Rouat,F.Michaud, K.Nakadai, H.Okuno // IEEE Transactions on Robotics. – 2007. – Vol.23(4). – P.742-752.
  3. Google Speech API Community Group [Electronic resource]. – Access mode: http://www.w3.org/community/speech-api/.
  4. Apple Siri [Electronic resource]. – Access mode: http://www.apple.com/iphone/features/siri.html.
  5. Huang X. Spoken Language Processing: A guide to theory, algorithm, and system development /X.Huang, A.Acero, H.Hon. – Prentice Hall. – 2001. – 980p.
  6. Controling a robot using voice – Speech recognition module for robots [Electronic resource]. – Accessmode: http://www.generationrobots.com/en/content/59-speech-recognition-system-robot-parallax.
  7. How to Build a Robot Tutorials – Society of Robots [Electronic resource]. – Access mode:http://www.societyofrobots.com/sensors_voice_recognition_robot.shtml.
  8. Sharii T.V. The FCAS Model of Speech Signal Post-Processing / Т.V. Sharii // Visnyk Chernihivs’kogoderjavnogo technologitchnogo universytetu. Seriya «Technitchni nauky». – 2012. – №4(61). – P.157-165.
  9. Kargin А.А. An Analysis of Speech Signals Based on Prosodic Features / A.A. Kargin, Т.V. Sharii //Proceedings of X International Conference «Intellectual Analysis of Information IAI-2010», Kyiv. –2010. – P.339-344.
  10. Peeters G. A large set of audio features for sound description (similarity and classification) in theCUIDADO project / G. Peeters // CUIDADO Proj. Report. – 2004. – 72 p.
  11. Кargin А.А. The Use of Fuzzy Logic in the Systems of Phonological Classification of Speech Sounds /Кargin А.А., Sharii Т.V. // Iskusstvenniy Intellekt. – 2010. – №3. – P.210-219.
  12. McClelland J.L. The TRACE Model of Speech Perception / J.L.McClelland, J.L.Elman // CognitivePsychology. – Vol.18. – 1986. – P.1-86.
  13. Morton J. Word recognition / J.Morton, J.C.Marshall // Psycholinguistics 2: Structures and Processes. –1979. – P.107-156.

View full text (PDF)