834 research outputs found

    Master of Arts

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    thesisRecent research indicates that knowledge of words' spellings can influence memory of phonological forms of second language (L2) words. For example, L2 learners whose first language uses the Roman alphabet remember newly-learned words more accurately when provided spelled forms in Roman orthography than when spelled forms are unavailable. Research also indicates that learners exposed to novel suprasegmental tone marks are more likely to remember tones associated with novel words and create tone-tone mark correspondences than learners not exposed to tone marks. However, while learners can use familiar letters and novel suprasegmental marks to make inferences about phonological forms, it is unknown whether learners can use entirely unfamiliar orthographic symbols. I therefore asked: Can learners use their knowledge of the alphabetic principle to infer phonological forms of new words when presented an unfamiliar L2 orthography? (Experiment 1). Did learners create graphemephoneme correspondences given orthographic representations? (Experiment 2). Native English speakers (no Arabic experience) were randomly assigned to Orthography or Control word learning groups. Six nonword minimal pairs contrasting Arabic velar-uvular contrasts (i.e., [k] and [q]) were randomly assigned picture "meanings". During a word learning phase, subjects saw pictures and spelled forms (either the word spelled in Arabic script-Orthography condition, or a meaningless sequence of Arabic letters-Control condition), and heard auditory forms. In Experiment 1, subjects determined whether a picture associated with, e.g., [kaʃu], matched an auditory form [qaʃu]. There was a significant effect of item type (p<.005), with matched items being easier, but no significant effect for subject group (p=.661) and no significant interaction of item type and subject group (p=.867). In Experiment 2, subjects determined whether orthographic representations and auditory words matched. Neither group performed significantly above chance on test items (Orthography mean = .513; Control mean = .539). Results suggest there are conditions under which novel scripts may not aid in learning L2 contrasts. However, it is unclear whether the lack of positive impact of orthographic representations results from difficulty associated with the Arabic script and/or perception of the target contrast

    The Effect of Social Primes on the Perception of Native- and Nonnative-Accented Speech

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    Listeners use more than just acoustic information when processing speech. Social information, such as a speaker’s race/ethnicity, can also affect listeners’ understanding of the speech signal. In some cases, these social primes can facilitate perception, while in others they may inhibit perception. Indeed, a picture of an East Asian face has been shown to facilitate the perception of Mandarin Chinese-accented English but interfere with the perception of American-accented English. The present dissertation builds on this line of inquiry, addressing novel topics including the generalizability and specificity of social priming effects, their relationship with implicit racial/ethnic associations, and their role in perceptual adaptation to nonnative-accented speech. In four online experiments, we examined the effect of visual race/ethnicity guises on transcription accuracy for native-accented and nonnative-accented speech (presented in background noise). Results of these experiments were mixed. Our first experiment successfully replicated prior work, demonstrating that an East Asian prime can facilitate perception of Mandarin-accented English speech. However, despite our attempt to assure sufficient power via large sample sizes, in all subsequent experiments we did not find effects of social primes on speech transcription accuracy or perceptual adaptation. Notably, our null outcomes have one positive implication: Minority race/ethnicity speakers with native-accented English speech may not be at a perceptual disadvantage as compared to White speakers (as indicated by prior work). Ultimately, further examination of social priming is needed to determine whether the mixed findings of the current work may reflect a small or a context-dependent effect. We suggest that by including in-depth analyses of subjects’ social networks (i.e., to determine their exposure to racial/ethnic diversity and relevant accent varieties), future investigations will be able to assess individual differences in susceptibility to social priming effects

    Master of Science

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    thesisPresently, speech recognition is gaining worldwide popularity in applications like Google Voice, speech-to-text reporter (speech-to-text transcription, video captioning, real-time transcriptions), hands-free computing, and video games. Research has been done for several years and many speech recognizers have been built. However, most of the speech recognizers fail to recognize the speech accurately. Consider the well-known application of Google Voice, which aids in users search of the web using voice. Though Google Voice does a good job in transcribing the spoken words, it does not accurately recognize the words spoken with different accents. With the fact that several accents are evolving around the world, it is essential to train the speech recognizer to recognize accented speech. Accent classification is defined as the problem of classifying the accents in a given language. This thesis explores various methods to identify the accents. We introduce a new concept of clustering windows of a speech signal and learn a distance metric using specific distance measure over phonetic strings to classify the accents. A language structure is incorporated to learn this distance metric. We also show how kernel approximation algorithms help in learning a distance metric

    The Effect Of Input Modality On Pronunciation Accuracy Of English Language Learners

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    The issues relative to foreign accent continue to puzzle second language researchers, educators, and learners today. Although once thought to be at the root, maturational constraints have fallen short of definitively accounting for the myriad levels and rates of phonological attainment (Bialystok & Miller, 1999, p. 128). This study, a Posttest-only Control Group Design, examined how the pronunciation accuracy of adult, English language learners, as demonstrated by utterance length, was related to two input stimuli: auditory-only input and auditoryorthographic input. Utterance length and input modality were further examined with the added variables of native language, specifically Arabic and Spanish, and second language proficiency as defined by unofficial TOEFL Listening Comprehension and Reading Comprehension section scores. Results from independent t tests indicated a statistically significant difference in utterance length based on input modality (t(192) = -3.285. p = .001), while with the added variable of native language, factorial ANOVA results indicated no statistically significance difference for the population studied. In addition, multiple linear regression analyses examined input modality and second language proficiency as predictors of utterance length accuracy and revealed a statistically significant relationship (R 2 = .108, adjusted R 2 = .089, F(3, 144) = 5.805, p = .001), with 11% of the utterance length variance accounted for by these two factors predictors. Lastly, hierarchical regressions applied to two blocks of factors revealed statistical significance: (a) input modality/native language (R 2 = .069, adjusted R 2 = .048, F(2, 87) = 3.230, p = .044) and ListenComp (R 2 = .101, adjusted R 2 = .070, F(3, 86) = 3.232, p = .026), with ListenComp iv increasing the predictive power by 3%; (b) input modality/native language (R 2 = .069, adjusted R 2 = .048, F(2, 87) = 3.230, p = .044) and ReadComp (R 2 = .112, adjusted R 2 = .081, F(1, 86) = 3.629, p = .016), with ReadComp increasing the predictive power by 4%; and (c) input modality/native language (R 2 = .069, adjusted R 2 = .048, F(2, 87) = 3.230, p = .044) and ListenComp/ReadComp (R 2 = .114, adjusted R 2 = .072, F(2, 85) = 2.129, p = .035), with ListenComp/ReadComp increasing the predictive power by 4%. The implications of this research are that by considering issues relative to input modality and second language proficiency levels especially when teaching new vocabulary to adult second language learners, the potential for improved pronunciation accuracy is maximized. Furthermore, the heightened attention to the role of input modality as a cognitive factor on phonological output in second language teaching and learning may redirect the manner in which target language phonology is approached

    A computational model for studying L1’s effect on L2 speech learning

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    abstract: Much evidence has shown that first language (L1) plays an important role in the formation of L2 phonological system during second language (L2) learning process. This combines with the fact that different L1s have distinct phonological patterns to indicate the diverse L2 speech learning outcomes for speakers from different L1 backgrounds. This dissertation hypothesizes that phonological distances between accented speech and speakers' L1 speech are also correlated with perceived accentedness, and the correlations are negative for some phonological properties. Moreover, contrastive phonological distinctions between L1s and L2 will manifest themselves in the accented speech produced by speaker from these L1s. To test the hypotheses, this study comes up with a computational model to analyze the accented speech properties in both segmental (short-term speech measurements on short-segment or phoneme level) and suprasegmental (long-term speech measurements on word, long-segment, or sentence level) feature space. The benefit of using a computational model is that it enables quantitative analysis of L1's effect on accent in terms of different phonological properties. The core parts of this computational model are feature extraction schemes to extract pronunciation and prosody representation of accented speech based on existing techniques in speech processing field. Correlation analysis on both segmental and suprasegmental feature space is conducted to look into the relationship between acoustic measurements related to L1s and perceived accentedness across several L1s. Multiple regression analysis is employed to investigate how the L1's effect impacts the perception of foreign accent, and how accented speech produced by speakers from different L1s behaves distinctly on segmental and suprasegmental feature spaces. Results unveil the potential application of the methodology in this study to provide quantitative analysis of accented speech, and extend current studies in L2 speech learning theory to large scale. Practically, this study further shows that the computational model proposed in this study can benefit automatic accentedness evaluation system by adding features related to speakers' L1s.Dissertation/ThesisDoctoral Dissertation Speech and Hearing Science 201

    The Effect of Using Authentic Videos on English Major Students' Prosodic Competence

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    This study aims to investigate the effect of using authentic videos on the prosodic competence of foreign language learners. It is hypothesized worldwide that authentic videos have a positive effect on the EFL learners' supra segmental competence. The population of the study included 32 students majoring in English Language at Taibah University in KSA during the academic year 2011/2012. The sample consisted of two sections, a control group and an experimental one. A pretest was administered to both groups to ensure that they were homogeneous. The control group was taught supra segmental aspects of language using a traditional approach while the experimental group was taught authentic videos. About four months later, a posttest was administered. The results of the study showed that there was much progress in the experimental group which significantly outperformed the control group in the different aspects of prosody. These findings confirm the hypothesis which read videos can have a positive effect on the EFL learners' supra segmental competence.  Keywords :Supra segmental competence, authentic videos ,Saudi English major students as  EFL learners, Intonation, Pronunciation, Stress, Pause , Juncture , Rhyme ,  and Prosodic aspects of language
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