Evaluation of wavelet-based noise reduction for digital hearing aids

Nathaniel A. Whitmal*, Janet C. Rutledge, Laura Ann Wilber

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review


This paper presents an evaluation of a new wavelet-based speech enhancement algorithm for digital hearing aid applications. Recordings of speech in automobile road noise at signal-to-noise ratios of 5 dB and 10 dB were used to evaluate the new method in trials of the Revised SPIN test with 16 hearing-impaired listeners. Test results indicate that the new method can improve intelligibility for listeners with flat-spectrum hearing losses. These improvements may be attributed to increases in signal-to-noise ratio which serve to reduce upward spread-of-masking.

Original languageEnglish (US)
Pages (from-to)1982-1985
Number of pages4
JournalAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
StatePublished - Dec 1 1997

ASJC Scopus subject areas

  • Bioengineering


Dive into the research topics of 'Evaluation of wavelet-based noise reduction for digital hearing aids'. Together they form a unique fingerprint.

Cite this