Frequency analyses of human voice using fast Fourier transform

Other Title(s)

التحليل الترددي للصوت البشري باستخدام تحويل فورير

Author

Mahdi, Janan Fadil

Source

Iraqi Journal of Physics

Issue

Vol. 13, Issue 27 (31 Aug. 2015), pp.174-181, 8 p.

Publisher

University of Baghdad College of Science

Publication Date

2015-08-31

Country of Publication

Iraq

No. of Pages

8

Main Subjects

Physics

Abstract EN

Quantitative analysis of human voice has been subject of interest and the subject gained momentum when human voice was identified as a modality for human authentication and identification.

The main organ responsible for production of sound is larynx and the structure of larynx along with its physical properties and modes of vibration determine the nature and quality of sound produced.

There has been lot of work from the point of view of fundamental frequency of sound and its characteristics.

With the introduction of additional applications of human voice interest grew in other characteristics of sound and possibility of extracting useful features from human voice.

We conducted a study using Fast Fourier Transform (FFT) technique to analyze human voice to identify different frequencies present in the voice with their relative proportion while pronouncing selected words like numbers.

Details of findings are presented

American Psychological Association (APA)

Mahdi, Janan Fadil. 2015. Frequency analyses of human voice using fast Fourier transform. Iraqi Journal of Physics،Vol. 13, no. 27, pp.174-181.
https://search.emarefa.net/detail/BIM-721567

Modern Language Association (MLA)

Mahdi, Janan Fadil. Frequency analyses of human voice using fast Fourier transform. Iraqi Journal of Physics Vol. 13, no. 27 (2015), pp.174-181.
https://search.emarefa.net/detail/BIM-721567

American Medical Association (AMA)

Mahdi, Janan Fadil. Frequency analyses of human voice using fast Fourier transform. Iraqi Journal of Physics. 2015. Vol. 13, no. 27, pp.174-181.
https://search.emarefa.net/detail/BIM-721567

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references : p. 180-181

Record ID

BIM-721567