Effects of speech-shaped noise on consonant recognition in malay

Md Shariful Alam, Muhammad S.A. Zilany, Evelyn Davies-Venn

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

Abstract

This paper presents the effect of speech-shaped noise on consonant recognitions in Malay. Scores were measured using a 22-alternative forced choice task. Based on responses, consonants were grouped into low, medium and high scoring sets, and the results were compared with some previous reports on English consonants. Our results showed that fricatives were less affected, whereas laterals and nasals were severely affected by speech-shaped noise. Large differences in consonant recognition scores at unfavorable signal-to-noise ratios (e.g., -10 dB) suggest that speech-shaped noise masked the Malay consonants non-uniformly. This was a key finding that differs from research reports with uniform speech masking in white noise. Masking patterns had some similarities and notable differences between English and Malay. The noted differences may have clinical implications for the design of signal processing strategies for hearing devices that are intended to improve speech understanding in noise for non-English speakers such as Malaysians.

Original languageEnglish (US)
Title of host publication5th IEEE Region 10 Humanitarian Technology Conference 2017, R10-HTC 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages22-25
Number of pages4
ISBN (Electronic)9781538621752
DOIs
StatePublished - Feb 9 2018
Event5th IEEE Region 10 Humanitarian Technology Conference, R10-HTC 2017 - Dhaka, Bangladesh
Duration: Dec 21 2017Dec 23 2017

Publication series

Name5th IEEE Region 10 Humanitarian Technology Conference 2017, R10-HTC 2017
Volume2018-January

Other

Other5th IEEE Region 10 Humanitarian Technology Conference, R10-HTC 2017
CountryBangladesh
CityDhaka
Period12/21/1712/23/17

Bibliographical note

Funding Information:
This study was supported by the UM grant RP016B-13AET, a grant from the University of Hail (MSAZ) and a University of Minnesota grant awarded to EDV.

Keywords

  • Hearing level
  • Malay consonant
  • signal-to-noise ratio
  • speech recognition
  • speech-shaped noise

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