Phonological and phonetic contributions to perception of non-native lexical tones by tone language listeners: Effects of memory load and stimulus variability

元音 心理学 普通话 感知 刺激(心理学) 言语感知 音韵学 语调(文学) 语音学 认知心理学 语言学 语音识别 计算机科学 哲学 神经科学
作者
Juqiang Chen,Mark Antoniou,Catherine T. Best
出处
期刊:Journal of Phonetics [Elsevier BV]
卷期号:96: 101199-101199 被引量:16
标识
DOI:10.1016/j.wocn.2022.101199
摘要

The present study examined native language phonological and phonetic factors in non-native lexical tone perception by tone language listeners, manipulating memory load and stimulus variability to bias listeners towards a more phonological or more phonetic mode of perception. Mandarin and Vietnamese listeners categorised the five Thai lexical tones to their native tones, and discriminated five selected Thai tone contrasts that were predicted by the Perceptual Assimilation Model (PAM, Best, 1995) to be discriminated differently. Categorisation responses showed more phonologically-based patterns under high than low memory load but were unaffected by talker and vowel variability, whereas discrimination accuracy was reduced by talker and vowel variability but not by memory load. Phonological factors indicated by type of categorisation and category overlap generally predicted the discrimination of non-native tone contrasts in line with PAM principles. Phonetic factors reflected in category overlap scores and fit index difference scores predicted variations in discriminating contrasts of the same contrast categorisation type. These findings uphold the extension of PAM principles to non-native tone perception by native listeners of other tone languages. Native phonological and phonetic contributions to non-native speech perception differ between categorisation and discrimination tasks, as reflected in differential modulation by memory load and stimulus variability.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
王好发布了新的文献求助10
刚刚
tjfwg完成签到,获得积分10
刚刚
刚刚
霜双双完成签到,获得积分10
1秒前
Bob完成签到,获得积分10
1秒前
Z01发布了新的文献求助10
2秒前
宁annie完成签到,获得积分10
2秒前
2秒前
daisy发布了新的文献求助10
3秒前
标致白卉完成签到,获得积分10
3秒前
wangxiaoyating完成签到,获得积分10
5秒前
李宗洋完成签到,获得积分10
5秒前
苗条的一一完成签到,获得积分10
5秒前
znn发布了新的文献求助10
5秒前
wanci应助xyy102采纳,获得10
6秒前
bkagyin应助倩倩采纳,获得10
7秒前
金金完成签到 ,获得积分10
7秒前
8秒前
咕噜咕噜完成签到,获得积分10
8秒前
xiaoju完成签到,获得积分20
9秒前
9秒前
Ping发布了新的文献求助10
11秒前
默z完成签到,获得积分10
12秒前
xiaoju发布了新的文献求助10
13秒前
mm完成签到,获得积分10
14秒前
晓先森完成签到,获得积分10
14秒前
16秒前
韦远侵完成签到,获得积分10
16秒前
李健的粉丝团团长应助xu采纳,获得10
16秒前
17秒前
科目三应助UGO采纳,获得10
17秒前
王好完成签到,获得积分10
17秒前
19秒前
AAAAAA关注了科研通微信公众号
21秒前
LYH完成签到,获得积分10
21秒前
林结衣完成签到,获得积分10
22秒前
22秒前
倩倩发布了新的文献求助10
23秒前
Z01完成签到,获得积分10
25秒前
可爱的函函应助yebhquetxi采纳,获得10
25秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Picture this! Including first nations fiction picture books in school library collections 1000
Signals, Systems, and Signal Processing 610
Unlocking Chemical Thinking: Reimagining Chemistry Teaching and Learning 555
Photodetectors: From Ultraviolet to Infrared 500
Cancer Targets: Novel Therapies and Emerging Research Directions (Part 1) 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6359112
求助须知:如何正确求助?哪些是违规求助? 8173163
关于积分的说明 17212653
捐赠科研通 5414121
什么是DOI,文献DOI怎么找? 2865393
邀请新用户注册赠送积分活动 1842783
关于科研通互助平台的介绍 1690901