<div><p>This study investigated how speech recognition in noise is affected by language proficiency for individual non-native speakers. The recognition of English and Chinese sentences was measured as a function of the signal-to-noise ratio (SNR) in sixty native Chinese speakers who never lived in an English-speaking environment. The recognition score for speech in quiet (which varied from 15%–92%) was found to be uncorrelated with speech recognition threshold (SRT<i><sub>Q</sub></i><sub>/2</sub>), i.e. the SNR at which the recognition score drops to 50% of the recognition score in quiet. This result demonstrates separable contributions of language proficiency and auditory processing to speech recognition in noise.</p></div
A large number of single-channel noise reduction algorithms have been proposed based largely on math...
A large number of single-channel noise-reduction algorithms have been proposed based largely on math...
Many objective measures have been reported to predict speech intelligibility in noise, most of which...
Objective: The main objective was to investigate the effect of linguistic abilities (lexical-access ...
This study examined the effects of bilingualism on speech recognition in noise performance of young ...
There is ample evidence that recognising words in a non-native language is more difficult than in a ...
The intelligibility of Mandarin-accented English sentences, even those spoken by highly proficient n...
Speech in ecological environments is often accompanied by noise, which often proposes challenges to ...
This study compared the intelligibility of native and foreign-accented American English speechpresen...
Although people can successfully adapt their speech perception abilities to understand foreign-accen...
Digit recognition was measured in quiet and in two noise conditions by English-native (EN) and Chine...
This study examined how talker accentedness affects the recognition of noise-vocoded speech by nativ...
This article investigates 2 questions: (1) does the presence of background noise lead to a different...
Nonnative speech poses a challenge to speech perception, especially in challenging listening environ...
The accurate perception of spoken English is influenced by many variables, including the listener\u2...
A large number of single-channel noise reduction algorithms have been proposed based largely on math...
A large number of single-channel noise-reduction algorithms have been proposed based largely on math...
Many objective measures have been reported to predict speech intelligibility in noise, most of which...
Objective: The main objective was to investigate the effect of linguistic abilities (lexical-access ...
This study examined the effects of bilingualism on speech recognition in noise performance of young ...
There is ample evidence that recognising words in a non-native language is more difficult than in a ...
The intelligibility of Mandarin-accented English sentences, even those spoken by highly proficient n...
Speech in ecological environments is often accompanied by noise, which often proposes challenges to ...
This study compared the intelligibility of native and foreign-accented American English speechpresen...
Although people can successfully adapt their speech perception abilities to understand foreign-accen...
Digit recognition was measured in quiet and in two noise conditions by English-native (EN) and Chine...
This study examined how talker accentedness affects the recognition of noise-vocoded speech by nativ...
This article investigates 2 questions: (1) does the presence of background noise lead to a different...
Nonnative speech poses a challenge to speech perception, especially in challenging listening environ...
The accurate perception of spoken English is influenced by many variables, including the listener\u2...
A large number of single-channel noise reduction algorithms have been proposed based largely on math...
A large number of single-channel noise-reduction algorithms have been proposed based largely on math...
Many objective measures have been reported to predict speech intelligibility in noise, most of which...