Recognition of modulated speech over OFDMA

Katrina Neville, Fawaz Al-Qahtani, Zahir M. Hussain, Margaret Lech

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

This paper presents an analysis of the error associated with speech after it has been processed using QAM modulation and sent through an IFFT/FFT OFDM transmission system. The main focus will be on how this type of modulation and transmission system will affect the unique features of speech used for speaker recognition and verification systems. Channel deformations can lead to serious errors in speech feature, which would result in recognition and verification algorithms becoming unreliable for secure applications. We will use the well-known Mel-Frequency Cepstral feature extraction algorithm to extract the speaker dependent features before and after the speech is modulated and sent over a noisy communication channel for comparison in our study.

Original languageEnglish
Title of host publication2006 IEEE Region 10 Conference, TENCON 2006
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Print)1424405491, 9781424405497
DOIs
Publication statusPublished - 1 Jan 2006
Event2006 IEEE Region 10 Conference, TENCON 2006 - Hong Kong, China
Duration: 14 Nov 200617 Nov 2006

Publication series

NameIEEE Region 10 Annual International Conference, Proceedings/TENCON
ISSN (Print)2159-3442
ISSN (Electronic)2159-3450

Other

Other2006 IEEE Region 10 Conference, TENCON 2006
CountryChina
CityHong Kong
Period14/11/0617/11/06

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ASJC Scopus subject areas

  • Computer Science Applications
  • Electrical and Electronic Engineering

Cite this

Neville, K., Al-Qahtani, F., Hussain, Z. M., & Lech, M. (2006). Recognition of modulated speech over OFDMA. In 2006 IEEE Region 10 Conference, TENCON 2006 [4142451] (IEEE Region 10 Annual International Conference, Proceedings/TENCON). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/TENCON.2006.343776