Path: Top -> Journal -> Telkomnika -> 2019 -> Vol 17, No 4, August 2019

FPGA-based implementation of speech recognition for robocar control using MFCC

Journal from gdlhub / 2019-06-26 16:10:34
Oleh : Bayuaji Kurniadhani, Sugondo Hadiyoso, Suci Aulia, Rita Magdalena, Telkomnika
Dibuat : 2019-06-26, dengan 1 file

Keyword : Euclidean distance, FPGA, MFCC, speech recognition
Url : http://journal.uad.ac.id/index.php/TELKOMNIKA/article/view/12615
Sumber pengambilan dokumen : WEB

This research proposes a simulation of the logic series of speech recognition on the MFCC (Mel Frequency Spread Spectrum) based FPGA and Euclidean Distance to control the robotic car motion. The speech known would be used as a command to operate the robotic car. MFCC in this study was used in the feature extraction process, while Euclidean distance was applied in the feature classification process of each speech that later would be forwarded to the part of decision to give the control logic in robotic motor. The test that has been conducted showed that the logic series designed was precise here by measuring the Mel Frequency Warping and Power Cepstrum. With the achievement of logic design in this research proven with a comparison between the Matlab computation and Xilinx simulation, it enables to facilitate the researchers to continue its implementation to FPGA hardware.

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PropertiNilai Properti
ID Publishergdlhub
OrganisasiTelkomnika
Nama KontakHerti Yani, S.Kom
AlamatJln. Jenderal Sudirman
KotaJambi
DaerahJambi
NegaraIndonesia
Telepon0741-35095
Fax0741-35093
E-mail Administratorelibrarystikom@gmail.com
E-mail CKOelibrarystikom@gmail.com

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