G-code programming applied in human voice frequency analysis

Author

Diana, Carla ; Ileana-Constanta, Rosca

Author_Institution

Mechatron. & Environ. Dept., Transilvania Univ. of Brasov, Brasov, Romania

fYear

2013

fDate

21-23 Nov. 2013

Firstpage

1

Lastpage

4

Abstract

This paper presents an G-code algorithm that could be applied in signal processing. The aim of this algorithm is to extract the feature from a noised signal by denoising (noise removing) wavelet transformation method. Using a graphical programming environment, LabVIEW (Laboratory Virtual Instrumentation Engineering Workbench), an application for the detection of the emotions from the human voice is developed. This becomes possible by processing and analysis of the human voice frequency.

Keywords

emotion recognition; feature extraction; signal denoising; speech processing; speech recognition; G-code algorithm; G-code programming; LabVIEW; Laboratory Virtual Instrumentation Engineering Workbench; emotion detection; feature extraction; graphical programming environment; human voice frequency analysis; signal denoising; signal processing; wavelet transformation method; Feature extraction; Noise; Noise reduction; Signal processing algorithms; Wavelet transforms; data acquisition; feature extraction; frequency; noise; wavelet;

fLanguage

English

Publisher

ieee

Conference_Titel

E-Health and Bioengineering Conference (EHB), 2013

Conference_Location

Iasi

Print_ISBN

978-1-4799-2372-4

Type

conf

DOI

10.1109/EHB.2013.6707245

Filename

6707245