date: 2022-04-28T07:18:02Z pdf:PDFVersion: 1.7 pdf:docinfo:title: Learning to Perceive Non-Native Tones via Distributional Training: Effects of Task and Acoustic Cue Weighting xmp:CreatorTool: LaTeX with hyperref access_permission:can_print_degraded: true subject: As many distributional learning (DL) studies have shown, adult listeners can achieve discrimination of a difficult non-native contrast after a short repetitive exposure to tokens falling at the extremes of that contrast. Such studies have shown using behavioural methods that a short distributional training can induce perceptual learning of vowel and consonant contrasts. However, much less is known about the neurological correlates of DL, and few studies have examined non-native lexical tone contrasts. Here, Australian-English speakers underwent DL training on a Mandarin tone contrast using behavioural (discrimination, identification) and neural (oddball-EEG) tasks, with listeners hearing either a bimodal or a unimodal distribution. Behavioural results show that listeners learned to discriminate tones after both unimodal and bimodal training; while EEG responses revealed more learning for listeners exposed to the bimodal distribution. Thus, perceptual learning through exposure to brief sound distributions (a) extends to non-native tonal contrasts, and (b) is sensitive to task, phonetic distance, and acoustic cue-weighting. Our findings have implications for models of how auditory and phonetic constraints influence speech learning. dc:format: application/pdf; version=1.7 pdf:docinfo:creator_tool: LaTeX with hyperref access_permission:fill_in_form: true pdf:encrypted: false dc:title: Learning to Perceive Non-Native Tones via Distributional Training: Effects of Task and Acoustic Cue Weighting modified: 2022-04-28T07:18:02Z cp:subject: As many distributional learning (DL) studies have shown, adult listeners can achieve discrimination of a difficult non-native contrast after a short repetitive exposure to tokens falling at the extremes of that contrast. Such studies have shown using behavioural methods that a short distributional training can induce perceptual learning of vowel and consonant contrasts. However, much less is known about the neurological correlates of DL, and few studies have examined non-native lexical tone contrasts. Here, Australian-English speakers underwent DL training on a Mandarin tone contrast using behavioural (discrimination, identification) and neural (oddball-EEG) tasks, with listeners hearing either a bimodal or a unimodal distribution. Behavioural results show that listeners learned to discriminate tones after both unimodal and bimodal training; while EEG responses revealed more learning for listeners exposed to the bimodal distribution. Thus, perceptual learning through exposure to brief sound distributions (a) extends to non-native tonal contrasts, and (b) is sensitive to task, phonetic distance, and acoustic cue-weighting. Our findings have implications for models of how auditory and phonetic constraints influence speech learning. pdf:docinfo:subject: As many distributional learning (DL) studies have shown, adult listeners can achieve discrimination of a difficult non-native contrast after a short repetitive exposure to tokens falling at the extremes of that contrast. Such studies have shown using behavioural methods that a short distributional training can induce perceptual learning of vowel and consonant contrasts. However, much less is known about the neurological correlates of DL, and few studies have examined non-native lexical tone contrasts. Here, Australian-English speakers underwent DL training on a Mandarin tone contrast using behavioural (discrimination, identification) and neural (oddball-EEG) tasks, with listeners hearing either a bimodal or a unimodal distribution. Behavioural results show that listeners learned to discriminate tones after both unimodal and bimodal training; while EEG responses revealed more learning for listeners exposed to the bimodal distribution. Thus, perceptual learning through exposure to brief sound distributions (a) extends to non-native tonal contrasts, and (b) is sensitive to task, phonetic distance, and acoustic cue-weighting. Our findings have implications for models of how auditory and phonetic constraints influence speech learning. pdf:docinfo:creator: Liquan Liu, Chi Yuan, Jia Hoong Ong, Alba Tuninetti, Mark Antoniou, Anne Cutler and Paola Escudero meta:author: Liquan Liu meta:creation-date: 2022-04-27T07:43:58Z created: 2022-04-27T07:43:58Z access_permission:extract_for_accessibility: true Creation-Date: 2022-04-27T07:43:58Z Author: Liquan Liu producer: pdfTeX-1.40.21 pdf:docinfo:producer: pdfTeX-1.40.21 pdf:unmappedUnicodeCharsPerPage: 0 dc:description: As many distributional learning (DL) studies have shown, adult listeners can achieve discrimination of a difficult non-native contrast after a short repetitive exposure to tokens falling at the extremes of that contrast. Such studies have shown using behavioural methods that a short distributional training can induce perceptual learning of vowel and consonant contrasts. However, much less is known about the neurological correlates of DL, and few studies have examined non-native lexical tone contrasts. Here, Australian-English speakers underwent DL training on a Mandarin tone contrast using behavioural (discrimination, identification) and neural (oddball-EEG) tasks, with listeners hearing either a bimodal or a unimodal distribution. Behavioural results show that listeners learned to discriminate tones after both unimodal and bimodal training; while EEG responses revealed more learning for listeners exposed to the bimodal distribution. Thus, perceptual learning through exposure to brief sound distributions (a) extends to non-native tonal contrasts, and (b) is sensitive to task, phonetic distance, and acoustic cue-weighting. Our findings have implications for models of how auditory and phonetic constraints influence speech learning. Keywords: distributional learning; tone; discrimination; identification; oddball-EEG; phonetic distance; acoustic cue-weighting access_permission:modify_annotations: true dc:creator: Liquan Liu description: As many distributional learning (DL) studies have shown, adult listeners can achieve discrimination of a difficult non-native contrast after a short repetitive exposure to tokens falling at the extremes of that contrast. Such studies have shown using behavioural methods that a short distributional training can induce perceptual learning of vowel and consonant contrasts. However, much less is known about the neurological correlates of DL, and few studies have examined non-native lexical tone contrasts. Here, Australian-English speakers underwent DL training on a Mandarin tone contrast using behavioural (discrimination, identification) and neural (oddball-EEG) tasks, with listeners hearing either a bimodal or a unimodal distribution. Behavioural results show that listeners learned to discriminate tones after both unimodal and bimodal training; while EEG responses revealed more learning for listeners exposed to the bimodal distribution. Thus, perceptual learning through exposure to brief sound distributions (a) extends to non-native tonal contrasts, and (b) is sensitive to task, phonetic distance, and acoustic cue-weighting. Our findings have implications for models of how auditory and phonetic constraints influence speech learning. dcterms:created: 2022-04-27T07:43:58Z Last-Modified: 2022-04-28T07:18:02Z dcterms:modified: 2022-04-28T07:18:02Z title: Learning to Perceive Non-Native Tones via Distributional Training: Effects of Task and Acoustic Cue Weighting xmpMM:DocumentID: uuid:a305519d-df71-4797-8127-59c409314c96 Last-Save-Date: 2022-04-28T07:18:02Z pdf:docinfo:keywords: distributional learning; tone; discrimination; identification; oddball-EEG; phonetic distance; acoustic cue-weighting pdf:docinfo:modified: 2022-04-28T07:18:02Z meta:save-date: 2022-04-28T07:18:02Z Content-Type: application/pdf X-Parsed-By: org.apache.tika.parser.DefaultParser creator: Liquan Liu dc:subject: distributional learning; tone; discrimination; identification; oddball-EEG; phonetic distance; acoustic cue-weighting access_permission:assemble_document: true xmpTPg:NPages: 16 pdf:charsPerPage: 3959 access_permission:extract_content: true access_permission:can_print: true meta:keyword: distributional learning; tone; discrimination; identification; oddball-EEG; phonetic distance; acoustic cue-weighting access_permission:can_modify: true pdf:docinfo:created: 2022-04-27T07:43:58Z