• Title/Summary/Keyword: non-native speaker

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SWAPPING NATIVE AND NON-NATIVE SPEAKERS' PROSODY USING THE PSOLA ALGORITHM

  • Yoon Kyu-Chul
    • Proceedings of the KSPS conference
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    • 2006.05a
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    • pp.77-81
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    • 2006
  • This paper presents a technique of imposing the prosodic features of a native speaker's utterance onto the same sentence uttered by a non-native speaker. Three acoustic aspects of the prosodic features were considered: the fundamental frequency (F0) contour, segmental durations, and the intensity contour. The fundamental frequency contour and the segmental durations of the native speaker's utterance were imposed on the non-native speaker's utterance by using the PSOLA (pitch-synchronous overlap and add) algorithm [1] implemented in Praat[2]. The intensity contour transfer was also done in Praat. The technique of transferring one or more of these prosodic features was elaborated and its implications in the area of language education were discussed.

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Japanese Vowel Sound Classification Using Fuzzy Inference System

  • Phitakwinai, Suwannee;Sawada, Hideyuki;Auephanwiriyakul, Sansanee;Theera-Umpon, Nipon
    • Journal of the Korea Convergence Society
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    • v.5 no.1
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    • pp.35-41
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    • 2014
  • An automatic speech recognition system is one of the popular research problems. There are many research groups working in this field for different language including Japanese. Japanese vowel recognition is one of important parts in the Japanese speech recognition system. The vowel classification system with the Mamdani fuzzy inference system was developed in this research. We tested our system on the blind test data set collected from one male native Japanese speaker and four male non-native Japanese speakers. All subjects in the blind test data set were not the same subjects in the training data set. We found out that the classification rate from the training data set is 95.0 %. In the speaker-independent experiments, the classification rate from the native speaker is around 70.0 %, whereas that from the non-native speakers is around 80.5 %.

Effects of the Type of Dyad on Repair Patterns and Linguistic Features in Repairs

  • Goo, Jaemyung;Lee, Kwang-Ok
    • English Language & Literature Teaching
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    • v.18 no.3
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    • pp.53-75
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    • 2012
  • The present study examined the role of language proficiency in dyadic discourse in the organization of repairs and the distribution of linguistic features contained in repairs. One native speaker of English and five non-native speakers participated and formed three dyads: one same-proficiency NNS-NNS (non-native speaker), one different-proficiency NNS-NNS, and one NS (native speaker)-NNS dyads. Results showed that overall repair patterns in this type of interaction were more conversational than didactic, and that the degree of difference in proficiency between the participants in the dyad influenced repair patterns and the distribution of linguistic features in relation to repair patterns. Also, discussed in the present paper are some implications of the results and other issues related to language learning.

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Symbolic Violence of the Native Speaker Fallacy: A Qualitative Case Study of an NNES Teacher

  • Choi, Soo-Joung
    • English Language & Literature Teaching
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    • v.15 no.3
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    • pp.33-57
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    • 2009
  • Taking the issues of inequity and power between NES and NNES teachers as a starting point, this qualitative study explores the way the widespread belief of the native speaker fallacy manifests itself in one NNES teacher's teaching life and is linked to the teacher's understanding of herself as an English teacher. Guided by critical applied linguistics (Pennycook, 2001) and using Bourdieu's (1991) theorization of symbolic violence, I conducted an instrumental case study (Stake, 1995) in an ESL writing class at a US university. I collected data through classroom observations and interviews over a nine-month period and analyzed the data using the constant comparison method (Glaser and Strauss, 1967). The findings illustrate the ways the dominant ideology of the native speaker fallacy works to maintain and reproduce the status quo unequal relation between NES and NNES teachers by making all parties involved believe in the artificial sociocultural arrangements that favor NES teachers as legitimate. The findings direct our attention to the importance of critical teacher education that will enable future TESOL professionals to engage in critical reflection on diverse issues and envision transformative change. The findings, in particular, point to the need for language support for NNES teachers in TESOL teacher education.

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Effects of Prosodic Strengthening on the Production of English High Front Vowels /i, ɪ/ by Native vs. Non-Native Speakers (원어민과 비원어민의 영어 전설 고모음 /i, ɪ/ 발화에 나타나는 운율 강화 현상)

  • Kim, Sahyang;Hur, Yuna;Cho, Taehong
    • Phonetics and Speech Sciences
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    • v.5 no.4
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    • pp.129-136
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    • 2013
  • This study investigated how acoustic characteristics (i.e., duration, F1, F2) of English high front vowels /i, ɪ/ are modulated by boundary- and prominence-induced strengthening in native vs. non-native (Korean) speech production. The study also examined how the durational difference in vowels due to the voicing of a following consonant (i.e., voiced vs. voiceless) is modified by prosodic strengthening in two different (native vs. non-native) speaker groups. Five native speakers of Canadian English and eight Korean learners of English (intermediate-advanced level) produced 8 minimal pairs with the CVC sequence (e.g., 'beat'-'bit') in varying prosodic contexts. Native speakers distinguished the two vowels in terms of duration, F1, and F2, whereas non-native speakers only showed durational differences. The two groups were similar in that they maximally distinguished the two vowels when the vowels were accented (F2, duration), while neither group showed boundary-induced strengthening in any of the three measurements. The durational differences due to the voicing of the following consonant were also maximized when accented. The results are discussed further in terms of phonetics-prosody interface in L2 production.

Perception of the English Epenthetic Stops by Korean Listeners

  • Han, Jeong-Im
    • Speech Sciences
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    • v.11 no.1
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    • pp.87-103
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    • 2004
  • This study investigates Korean listeners' perception of the English stop epenthesis between the sonorant and fricative segments. Specifically this study investigates 1) how often English epenthetic stops are perceived by native Korean listeners, given the fact that Korean does not allow consonant clusters in codas; and 2) whether perception of the epenthetic stops, which are optional phonetic variations, not phonemes, could be improved without any explicit training. 120 English non-words with a mono-syllable structure of CVC1C2, where C1=/m, n, $\eta$, 1/, and C2=/s, $\theta$, $\int$/, were given to two groups of native Korean listeners, and they were asked to detect the target stops such as [p], [t], and [k]. The number of their responses were computed to determine how often listeners succeed in recovering the string of segments produced by the native English speaker. The results of the present study show that English epenthetic stops are poorly identified by native Korean listeners with low English proficiency, even in the case where stimuli with strong acoustic cues are provided with, but perception of epenthetic stops is closely related with listeners' English proficiency, showing the possibility of the improvement of perception. It further shows that perception of epenthetic stops shows asymmetry between coronal and non-coronal consonants.

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A Corpus-Based Analysis of Crosslinguistic Influence on the Acquisition of Concessive Conditionals in L2 English

  • Newbery-Payton, Laurence
    • Asia Pacific Journal of Corpus Research
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    • v.3 no.1
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    • pp.35-49
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    • 2022
  • This study examines crosslinguistic influence on the use of concessive conditionals by Japanese EFL learners. Contrastive analysis suggests that Japanese native speakers may overuse the concessive conditional even if due to partial similarities to Japanese concessive conditionals, whose formal and semantic restrictions are fewer than those of English concessive conditionals. This hypothesis is tested using data from the written module of the International Corpus Network of Asian Learners of English (ICNALE). Comparison of Japanese native speakers with English native speakers and Chinese native speakers reveals the following trends. First, Japanese native speakers tend to overuse concessive conditionals compared to native speakers, while similar overuse is not observed in Chinese native speaker data. Second, non-nativelike uses of even if appear in contexts allowing the use of concessive conditionals in Japanese. Third, while overuse and infelicitous use of even if is observed at all proficiency levels, formal errors are restricted to learners at lower proficiency levels. These findings suggest that crosslinguistic influence does occur in the use of concessive conditionals, and that its particular realization is affected by L2 proficiency, with formal crosslinguistic influence mediated at an earlier stage than semantic cross-linguistic influence.

Korean Plosive Produced by Chinese Speaker (중국인 화자의 한국어 파열음 발음)

  • Jiang, Pan;Kim, Ji-Eun;Lee, Choong-Woo
    • The Journal of the Korea Contents Association
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    • v.14 no.3
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    • pp.482-489
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    • 2014
  • The purposes of this study are (1) to see if the length of residence in Korea affects to the VOT values of Korean plosives produced by Chinese speakers (2) to investigate if such VOT values are different in non-sense words and real words and (3) to find out how such VOT values are related to the native Korean speakers' understanding of the words. For these purposes, eighteen Chinese speakers' VOT values of Korean plosives were measured using Speech Analyzer and their pronunciations were evaluated by three native Korean speakers. The results show that there is no effect of both (1) length of residence in Korea and (2) production of non-sensed words and sensed words. In addition, it is noticed that VOT values of some plosives affect more to the native Korean speakers' understanding of the words, while some are not.

AI-based language tutoring systems with end-to-end automatic speech recognition and proficiency evaluation

  • Byung Ok Kang;Hyung-Bae Jeon;Yun Kyung Lee
    • ETRI Journal
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    • v.46 no.1
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    • pp.48-58
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    • 2024
  • This paper presents the development of language tutoring systems for nonnative speakers by leveraging advanced end-to-end automatic speech recognition (ASR) and proficiency evaluation. Given the frequent errors in non-native speech, high-performance spontaneous speech recognition must be applied. Our systems accurately evaluate pronunciation and speaking fluency and provide feedback on errors by relying on precise transcriptions. End-to-end ASR is implemented and enhanced by using diverse non-native speaker speech data for model training. For performance enhancement, we combine semisupervised and transfer learning techniques using labeled and unlabeled speech data. Automatic proficiency evaluation is performed by a model trained to maximize the statistical correlation between the fluency score manually determined by a human expert and a calculated fluency score. We developed an English tutoring system for Korean elementary students called EBS AI Peng-Talk and a Korean tutoring system for foreigners called KSI Korean AI Tutor. Both systems were deployed by South Korean government agencies.

Performance Evaluation of English Word Pronunciation Correction System (한국인을 위한 외국어 발음 교정 시스템의 개발 및 성능 평가)

  • Kim Mu Jung;Kim Hyo Sook;Kim Sun Ju;Kim Byoung Gi;Ha Jin-Young;Kwon Chul Hong
    • MALSORI
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    • no.46
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    • pp.87-102
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    • 2003
  • In this paper, we present an English pronunciation correction system for Korean speakers and show some of experimental results on it. The aim of the system is to detect mispronounced phonemes in spoken words and to give appropriate correction comments to users. There are several English pronunciation correction systems adopting speech recognition technology, however, most of them use conventional speech recognition engines. From this reason, they could not give phoneme based correction comments to users. In our system, we build two kinds of phoneme models: standard native speaker models and Korean's error models. We also design recognition network based on phonemes to detect Koreans' common mispronunciations. We get 90% detection rate in insertion/deletion/replacement of phonemes, but we cannot get high detection rate in diphthong split and accents.

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