Skip to main content
padlock icon - secure page this page is secure

A Comparative Study of Pitch Detection Algorithms for Microcontroller Based Voice Pitch Detector

Buy Article:

$106.51 + tax (Refund Policy)

This paper presents a study to compare the performance of two pitch detection algorithms namely the Auto-correlation Function and the Cepstrum Analysis to select a suitable algorithm that can be developed into a standalone voice pitch detector. The two algorithms were chosen due to their uncomplicatedness to be realized in a microcontroller. The performance of both algorithms was analyzed using 288 speech samples recorded from 24 students in both quiet and noisy environments. Results showed that both algorithms produced comparable pitch values and were able to determine the pitch of speech signals correctly. However in terms of complexity and computational processing time, the Autocorrelation Function performed better than the Cepstrum Analysis.
No Reference information available - sign in for access.
No Citation information available - sign in for access.
No Supplementary Data.
No Article Media
No Metrics

Keywords: Autocorrelation Function; Cepstrum Analysis; Pitch Detection Algorithm

Document Type: Research Article

Affiliations: 1: Faculty of Engineering, Universiti Malaysia Sabah, Kota Kinabalu 88400, Malaysia 2: Artificial Intelligence Research Unit (AIRU), Universiti Malaysia Sabah, Kota Kinabalu 88400, Malaysia

Publication date: November 1, 2017

More about this publication?
  • ADVANCED SCIENCE LETTERS is an international peer-reviewed journal with a very wide-ranging coverage, consolidates research activities in all areas of (1) Physical Sciences, (2) Biological Sciences, (3) Mathematical Sciences, (4) Engineering, (5) Computer and Information Sciences, and (6) Geosciences to publish original short communications, full research papers and timely brief (mini) reviews with authors photo and biography encompassing the basic and applied research and current developments in educational aspects of these scientific areas.
  • Editorial Board
  • Information for Authors
  • Subscribe to this Title
  • Ingenta Connect is not responsible for the content or availability of external websites
  • Access Key
  • Free content
  • Partial Free content
  • New content
  • Open access content
  • Partial Open access content
  • Subscribed content
  • Partial Subscribed content
  • Free trial content
Cookie Policy
X
Cookie Policy
Ingenta Connect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more