Aleš Tetičkovič (Author), Simon Klančnik (Author)

Abstract

The article describes a voice recognition system, which is used in a wheelchair. The wheelchair is designed for physically disabled persons, who can not control the wheelchair with a joystick and voice is the only possible way to control machine. Speech recognition is composed from word isolation, LPC cepstral analysis, coefficient dimension reduction with SOM neural network and neural network for words recognition.

Keywords

razpoznavanje govora;nevronske mreže;

Data

Language: Slovenian
Year of publishing:
Typology: 1.08 - Published Scientific Conference Contribution
Organization: UM FERI - Faculty of Electrical Engineering and Computer Science
UDC: 004.94
COBISS: 12307990 Link will open in a new window
Views: 1444
Downloads: 61
Average score: 0 (0 votes)
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Other data

Secondary language: English
Secondary abstract: The article describes a voice recognition system, which is used in a wheelchair. The wheelchair is designed for physically disabled persons, who can not control the wheelchair with a joystick and voice is the only possible way to control machine. Speech recognition is composed from word isolation, LPC cepstral analysis, coefficient dimension reduction with SOM neural network and neural network for words recognition.
URN: URN:SI:UM:
Pages: [6] str.
ID: 8718401
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