This paper is published in Volume-7, Issue-4, 2021
Area
Engineering
Author
Mahesh M. Kamble, Tejal S.Bandgar
Org/Univ
PVPIT, Budhgaon, Sangli (affiliated to Dr. Babasaheb Ambedkar Technological University) Maharashtra, India
Pub. Date
09 August, 2021
Paper ID
V7I4-1681
Publisher
Keywords
Autocorrelation Function, Speech Recognition System, Center-Clipping Pitch

Citationsacebook

IEEE
Mahesh M. Kamble, Tejal S.Bandgar. Fundamental Frequency estimation and analysis of speech signal, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Mahesh M. Kamble, Tejal S.Bandgar (2021). Fundamental Frequency estimation and analysis of speech signal. International Journal of Advance Research, Ideas and Innovations in Technology, 7(4) www.IJARIIT.com.

MLA
Mahesh M. Kamble, Tejal S.Bandgar. "Fundamental Frequency estimation and analysis of speech signal." International Journal of Advance Research, Ideas and Innovations in Technology 7.4 (2021). www.IJARIIT.com.

Abstract

The fundamental frequency is a critical component in speech signal processing analysis. The fundamental frequency (fo) is the rate at which the vocal cords vibrate, and the fundamental frequency range for a person is 120 to 400 Hz. This basic frequency varies depending on the size and form of the vocal cords, and it might differ for males, females, and children. Different time domain and frequency domain pitch detection techniques are utilized. The time-domain methods include autocorrelation and AMDF (Average Magnitude Difference Function), whereas the frequency domain algorithm is Cepstrum. The fundamental frequency may be determined by pitch preprocessing and extraction.