A selective algorithm for the reduction of irregular noise in speech communication

Roshahliza M. Ramli, Salina Abdul Samad, Ali O. Abid Noor

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

2 Citations (Scopus)

Abstract

The properties of noise signals can be the main problem associated with noise cancellation systems. In order to overcome this problem, high complexity algorithms have to be used in order to reduce the noise embedded in the useful signals such as speech. This method can be impractical, especially in real-time applications where the computational power is a crucial issue. Adaptive filters give applicable solutions, but most literature proposed a single, yet complex algorithm to removing the noise. This paper proposes an alternative approach to eliminate background noise in corrupted speech signals. The method is achieved by letting the system assigns an appropriate algorithm according to the characteristics of the noise. The criterion used here is based on the calculation of eigenvalue spread in the autocorrelation matrix of the input signal. In addition, an algorithm derived from set-membership filtering is also used among the selected algorithms. This approach showed its potential capability in eliminating different types of environmental noise from corrupted speech signals. The technique presented here exhibited fast convergence speed and improvement in signal-to-noise ratio compared with other single adaptive algorithms.

Original languageEnglish
Title of host publication2014 IEEE Student Conference on Research and Development, SCOReD 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781479964284
DOIs
Publication statusPublished - 30 Mar 2014
Event2014 IEEE Student Conference on Research and Development, SCOReD 2014 - Penang, Malaysia
Duration: 16 Dec 201417 Dec 2014

Other

Other2014 IEEE Student Conference on Research and Development, SCOReD 2014
CountryMalaysia
CityPenang
Period16/12/1417/12/14

Fingerprint

Speech communication
Adaptive filters
Adaptive algorithms
Autocorrelation
Signal to noise ratio

Keywords

  • adaptive algorithm
  • adaptive filtering
  • eigenvalue spread
  • environmental noise
  • noise cancellation

ASJC Scopus subject areas

  • Computer Science(all)
  • Electrical and Electronic Engineering
  • Energy(all)

Cite this

Ramli, R. M., Abdul Samad, S., & Abid Noor, A. O. (2014). A selective algorithm for the reduction of irregular noise in speech communication. In 2014 IEEE Student Conference on Research and Development, SCOReD 2014 [7072962] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SCORED.2014.7072962

A selective algorithm for the reduction of irregular noise in speech communication. / Ramli, Roshahliza M.; Abdul Samad, Salina; Abid Noor, Ali O.

2014 IEEE Student Conference on Research and Development, SCOReD 2014. Institute of Electrical and Electronics Engineers Inc., 2014. 7072962.

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

Ramli, RM, Abdul Samad, S & Abid Noor, AO 2014, A selective algorithm for the reduction of irregular noise in speech communication. in 2014 IEEE Student Conference on Research and Development, SCOReD 2014., 7072962, Institute of Electrical and Electronics Engineers Inc., 2014 IEEE Student Conference on Research and Development, SCOReD 2014, Penang, Malaysia, 16/12/14. https://doi.org/10.1109/SCORED.2014.7072962
Ramli RM, Abdul Samad S, Abid Noor AO. A selective algorithm for the reduction of irregular noise in speech communication. In 2014 IEEE Student Conference on Research and Development, SCOReD 2014. Institute of Electrical and Electronics Engineers Inc. 2014. 7072962 https://doi.org/10.1109/SCORED.2014.7072962
Ramli, Roshahliza M. ; Abdul Samad, Salina ; Abid Noor, Ali O. / A selective algorithm for the reduction of irregular noise in speech communication. 2014 IEEE Student Conference on Research and Development, SCOReD 2014. Institute of Electrical and Electronics Engineers Inc., 2014.
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