SPEECH TRAINING SYSTEM FOR THAI THERAPEUTIC ROBOT

Orrawan Kumdee, Siriwan Chumpiya, Chetthana Ruangjirakit, Panrasee Ritthipravat

References

  1. [1] University of Michigan Health System, Speech andLanguage Delay and Disorder, Available:http://www.med.umich.edu/yourchild/topics/speech.htm. Accessed: 29 February 2012
  2. [2] C. Wutiwiwatchai, S.Furui, Thai Speech ProcessingTechnology: A Review, Speech Communication, 49,2007, 8-27.
  3. [3] I. Stankovic, M. Karnjanadecha, V. Delic,Improvement of Thai Speech Emotion RecognitionBy Using Face Feature Analysis, InternationalSymposium on Intelligent Signal Processing andCommunications Systems: "The Decade ofIntelligent and Green Signal Processing andCommunications", ISPACS 2011 , 2011. art. no.6146092
  4. [4] T. Lee, P.C. Ching,L.W. Chan, Recurrent NeuralNetworks For Speech Modeling And SpeechRecognition, Proc. 5thIEEE InternationalConference on Acoustics, Speech, and SignalProcessing, 1995, 3319-3322.
  5. [5] W. Rochkittichareon, A. Suchato, P. Punyabukkana,Broad Phonetic Class Segmentation Study for ThaiAutomatic Speech Recognition, 9th InternationalConference on Electrical Engineering/Electronics,Computer, Telecommunications and InformationTechnology, ECTI-CON 2012, art. no. 6254262.
  6. [6] S.G. Koolagudi, K.S. Rao, Emotion RecognitionFrom Speech: A Review, International Journal ofSpeech Technology, 2012, 15(2), 99-117.

Important Links:

Go Back