Learning device, mobile communication terminal, information...

Details Learning device, mobile communication terminal, information... Learning device, mobile communication terminal, information...

2007-05-08

2007-05-08

Azad, Abul K. (Department: 2626)

Data processing: speech signal processing, linguistics, language

Speech signal processing

Recognition

C704S270000, C455S441000

Reexamination Certificate

active

10367886

ABSTRACT:
The myo-electric information of the user is transmitted to the data center, learning with a high computation load for generating recognition parameters required for recognizing the utterance content based on the myo-electric information is performed, not by the mobile communication terminal, but by the data center. By this, compared with the case when learning is performed in the mobile communication terminal which has stricter limitations on processing speed and memory than a stationary type computer, efficient learning in a shorter time becomes possible. Since the recognition parameters acquired at the data center are transmitted to the mobile communication terminal, hereafter utterance content recognition can be appropriately performed by the recognition parameters matching the user only by the mobile communication terminal, without the mobile communication terminal transmitting/receiving information with a learning device.

REFERENCES:
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patent: 6006175 (1999-12-01), Holzrichter
patent: 1 047 046 (2000-10-01), None
patent: 7-181888 (1995-07-01), None
A. D. C. Chan, et al., “Hidden Markov Model Classification of Myoelectric Signals in Speech”, Proceedings of the 23rdAnnual EMBS International Conference of the IEEE Engineering in Medicine and Biology Society, vol. 1 of 4, conf. 23, XP-010594764, Oct. 25-28, 2001, pp. 1727-1730.
S. Noboru, et al., IEEE Transactions on Biomedical Engineering, vol. BMB-32, No. 7, pp. 485-490, “A Speech Prosthesis Employing a Speech Synthesizer Vowel Discrimination From Perioral Muscle Activities and Vowel Production”, Jul. 1985.

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