title: English sentence recognition in speech-shaped noise and multi-talker babble for English-, Chinese-, and Korean-native listeners.
abstract: This study aimed to investigate English sentence recognition in quiet and two types of maskers, multi-talker babble (MTB) and long-term speech-shaped noise (LTSSN), with varied signal-to-noise ratios, for English-, Chinese-, and Korean-native listeners. Results showed that first, sentence recognition for non-native listeners was affected more by background noise than that for native listeners; second, the masking effects of LTSSN were similar between Chinese and Korean listeners, but the masking effects of MTB were greater for Chinese than for Korean listeners, suggesting possible interaction effects between the non-native listener's native language and speech-like competing noise in sentence recognition.
authors.affiliation: Department of Communication Sciences and Disorders, The University of Texas at Austin, 1 University Station A1100, Austin, Texas 78712, USA. shjin@mail.utexas.edu
authors.forename: Su-Hyun
authors.initials: SH
authors.lastname: Jin
authors.forename: Chang
authors.initials: C
authors.lastname: Liu
mesh_terms: D000161:Acoustic Stimulation; D000328:Adult; D001301:Audiometry, Pure-Tone; D001302:Audiometry, Speech; D005260:Female; D006801:Humans; D008297:Male; D019303:Multilingualism; D009622:Noise; D010470:Perceptual Masking; D021641:Recognition, Psychology; D013061:Speech Acoustics; D013065:Speech Intelligibility; D013067:Speech Perception; D055815:Young Adult