Perceptual rating and word identification procedures were used to evaluate the efficacy of several digital hearing aid adaptive and nonadaptive noise reduction algorithm parameters. The study included 15 hearing-impaired adults listening to speech at soft, moderate, and loud input levels in quiet, fan noise, and multitalker babble noise. The results suggest that hearing-impaired listeners can m...

We report an investigation of the perception of American English phonemes by Dutch listeners proficient in English. Listeners identified either the consonant or the vowel in most possible English CV and VC syllables. The syllables were embedded in multispeaker babble at three signal-to-noise ratios (16 dB, 8 dB, and 0 dB). Effects of signal-to-noise ratio on vowel and consonant identification a...

The present study examined to what extent proficiency in a non-native language influences speech perception in noise. We explored how English proficiency affected native (Swedish) and non-native (English) speech perception in four speech reception threshold (SRT) conditions, including two energetic (stationary, fluctuating noise) and two informational (two-talker babble Swedish, two-talker babb...

A generalized subspace approach is proposed for enhancement of speech corrupted by colored noise. A nonunitary transform, based on the simultaneous diagonalization of the clean speech and noise covariance matrices, is used to project the noisy signal onto a signal-plus-noise subspace and a noise subspace. The clean signal is estimated by nulling the signal components in the noise subspace and r...

In the design of speech systems, the primary focus is the speech oriented task with the secondary emphasis on sustaining performance under varying operating conditions. Variation in environmental conditions is one of the most important factors that impact speech system performance. In this study, we propose a framework for noise tracking. The proposed noise tracking algorithm is compared with M...

BACKGROUND Before advanced noise-management features can be recommended for use in children with hearing loss, evidence regarding their ability to use these features to optimize speech perception is necessary. PURPOSE The purpose of this study was to examine the relation between children's preference for, and performance with, four combinations of noise-management features in noisy listening ...

Additive noise degrades speech quality and intelligibility. Speech enhancement reduces this to make more pleasant intelligible. It plays a significant role in recognition or speech-operated systems. In paper, we propose single-channel method which the log-minimum mean square error (log-MMSE) modified accelerated particle swarm optimization algorithm are used design filter for improving intellig...

English-as-a-second-language (ESL) listeners have difficulty perceiving English speech presented in background noise. The current study furthered this line of investigations by including participants who varied widely in their age of English acquisition and length of English learning: 24 native English monolingual (EML), 12 simultaneous bilingual (SBL), 10 early ESL (E-ESL), and 14 late ESL (L-...

This paper discusses a single-microphone-based self-adaptive filter of environmental noise from speech. This filter, based on the work of Graupe (3) and of Graupe and Causey (4), has been incorporated in standard in-the-ear (ITE) and in behind-the-ear (BTE) hearing aids by several hearing aid manufacturers. Intelligibility tests by the authors and by independent researchers are presented in thi...

Most existing single-channel noise-suppression algorithms cannot improve speech intelligibility for normal-hearing listeners; however, the underlying reason for this performance deficit is still unclear. Given that various speech segments contain different perceptual contributions, the present work assesses whether the intelligibility of noisy speech can be improved when selectively suppressing...