Large-scale characterization of non-native Mandarin Chinese spoken by speakers of European origin: Analysis on iCALL

Chen, Nancy F.; Wee, Darren; Tong, Rong; Ma, Bin; Li, Haizhou

doi:10.1016/j.specom.2016.07.005

Cited by 48 publications

(27 citation statements)

References 9 publications

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“…Unfortunately for nonnative learners, our relatively poor Tone 2 and Tone 3 results are in line with previous lab-based and classroom-based L2 Mandarin acquisition research (e.g., Chen et al, 2016;Everson & Shen, 2010;Hao, 2012;Wiener, 2017;Wiener, Lee, & Tao, 2019;Yang, 2015Yang, , 2016. Even the L2 Mandarin speakers tested in the present study with over 140 hours of classroom experience still produced Tone 2 and Tone 3 with less than 70% accuracy.…”

Section: Discussionsupporting

confidence: 91%

Do Explicit Instruction and High Variability Phonetic Training Improve Nonnative Speakers’ Mandarin Tone Productions?

Wiener

Chan

Ito

2020

The Modern Language Journal

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This study examines the putative benefits of explicit phonetic instruction, high variability phonetic training, and their effects on adult nonnative speakers’ Mandarin tone productions. Monolingual first language (L1) English speakers (n = 80), intermediate second language (L2) Mandarin learners (n = 40), and L1 Mandarin speakers (n = 40) took part in a multiday Mandarin‐like artificial language learning task. Participants were asked to repeat a syllable–tone combination immediately after hearing it. Half of all participants were exposed to speech from 1 talker (low variability) while the other half heard speech from 4 talkers (high variability). Half of the L1 English participants were given daily explicit instruction on Mandarin tone contours, while the other half were not. Tone accuracy was measured by L1 Mandarin raters (n = 104) who classified productions according to their perceived tonal category. Explicit instruction of tone contours facilitated L1 English participants’ production of rising and falling tone contours. High variability input alone had no main effect on participants’ productions but interacted with explicit instruction to improve participants’ productions of high‐level tone contours. These results motivate an L2 tone production training approach that consists of explicit tone instruction followed by gradual exposure to more variable speech.

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Section: Discussionsupporting

confidence: 91%

Do Explicit Instruction and High Variability Phonetic Training Improve Nonnative Speakers’ Mandarin Tone Productions?

Wiener

Chan

Ito

2020

The Modern Language Journal

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“…We further verified this finding across L1 backgrounds. Figures 3,4,5,and 6 show that there are diversities in segmental production patterns across L1 backgrounds. Southeast Asian languages here include Filipino, Cambodian, and Vietnamese, which belong to Austronesian language group.…”

Section: L1 Dependent Segmental Variation Patternsmentioning

confidence: 93%

“…The finding showed that the degree to which learners approximate the native speaker norm does not necessarily measure how easily L2 utterances are understood. More empirical studies have examined phonological, temporal, lexical or grammatical correlates of L2 German [3], Japanese [4], Dutch [5], Chinese [6] and Spanish [7] comprehensibility.…”

Section: Non-native Speech Assessmentmentioning

confidence: 99%

“…For example, in case of L2 English, due to the empirical evidence in favor of prosody as a factor of intelligibility, it was included as a variable in the experiment [2]. Studies on L2 Chinese investigated tonal realization patterns [6], whereas pitch accent was studied for L2 Japanese [4]. It remains open to question whether and to what degree such findings can be generalized to other linguistic contexts.…”

Section: Introductionmentioning

confidence: 99%

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Linguistic Factors Affecting Evaluation of L2 Korean Speech Proficiency

Yang

Chung

2017

7th ISCA Workshop on Speech and Language Technology in Education (SLaTE 2017)

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Much research attention has been directed to identify how native speakers perceive non-native speakers' oral proficiency. To investigate the generalizability of previous findings, this study examined segmental, phonological, accentual, and temporal correlates of native speakers' evaluation of L2 Korean proficiency produced by learners with various levels and nationalities. Our experiment results show that proficiency ratings by native speakers significantly correlate not only with rate of speech, but also with the segmental accuracies. The influence of segmental errors has the highest correlation with the proficiency of L2 Korean speech. We further verified the validity of this finding across different L1 backgrounds. Although phonological accuracy was expected to be highly correlated with the proficiency score, it was the least influential measure. Another new finding in this study is that the role of pitch and accent has been underemphasized so far in the non-native Korean speech perception studies. This work will serve as the groundwork for the development of automatic assessment module in Korean CAPT system.

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“…As pronunciation of a foreign language is easily affected by the learners' native language, it is better to train acoustic model with the learners' speech data of target foreign language. However, it is much more difficult to collect and label non-native speech than native speech because of the fewer user populations and unnatural pronunciations [9]. While automatic speech recognition (ASR) has recently achieved great progress due to the emergence of Deep Neural network (DNN) and big data, DNN-based CAPT cannot benefit a lot because of the scarce of a large amount of training data.…”

mentioning

confidence: 99%

Cross-Lingual Transfer Learning of Non-Native Acoustic Modeling for Pronunciation Error Detection and Diagnosis

Duan

Kawahara

Dantsuji

et al. 2020

IEEE/ACM Trans. Audio Speech Lang. Process.

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Large-scale characterization of non-native Mandarin Chinese spoken by speakers of European origin: Analysis on iCALL

Cited by 48 publications

References 9 publications

Do Explicit Instruction and High Variability Phonetic Training Improve Nonnative Speakers’ Mandarin Tone Productions?

Do Explicit Instruction and High Variability Phonetic Training Improve Nonnative Speakers’ Mandarin Tone Productions?

Linguistic Factors Affecting Evaluation of L2 Korean Speech Proficiency

Cross-Lingual Transfer Learning of Non-Native Acoustic Modeling for Pronunciation Error Detection and Diagnosis

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