DocumentCode :
3009128
Title :
Voice-pulse conversion method based on the response of the primary auditory cortex
Author :
Suzuki, Yutaka ; Sakata, Osamu ; Qin, Ling ; Sato, Yu
Author_Institution :
Center for Life Sci. Res., Univ. of Yamanashi, Chuo, Japan
fYear :
2011
fDate :
21-24 Nov. 2011
Firstpage :
1225
Lastpage :
1229
Abstract :
Brain machine interface (BMI) is one of useful techniques to compensate the deteriorated sensory functions. For the purpose of aid of auditory impediment, we have developed a sound-stimulus signal conversion interface for an auditory BMI that is based on the response of primary auditory cortex (A1) cells. In A1 neuron responses, amplitude-modulated (AM) sound is encoded as spike rate information of the tonic response, and frequency-modulated (FM) sound is encoded as the order of active place in the brain. In signal processing, the sound signals were divided into frequency bands by using a digital filter bank for FM sound. The separate signals were then converted to pulse train signals to deal with AM. In this manner, a voice-pulse conversion method that is based on A1 neuron response to AM and FM sound was constructed. Additionally, in order to examine which frequency band division method was suitable for vowel identification, we got the self-organizing map to learn the number of pulses for each output channel. The result showed that the exponential processing was best. Under the condition, the formant information is left behind and the classification of vowels is possible.
Keywords :
amplitude modulation; brain-computer interfaces; frequency modulation; self-organising feature maps; signal processing; Al neuron responses; amplitude modulated sound; brain machine interface; deteriorated sensory functions; digital filter bank; frequency modulated sound; primary auditory cortex; self organizing map; signal processing; sound stimulus signal conversion interface; spike rate information; voice pulse conversion method; vowel identification; Cats; Filter banks; Frequency conversion; Frequency modulation; Mathematical model; Neurons; System-on-a-chip; Brain Macine Interface; Primary Auditory Cortex; Self Organizing Map; Vowel;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
TENCON 2011 - 2011 IEEE Region 10 Conference
Conference_Location :
Bali
ISSN :
2159-3442
Print_ISBN :
978-1-4577-0256-3
Type :
conf
DOI :
10.1109/TENCON.2011.6129308
Filename :
6129308
Link To Document :
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