1,088 research outputs found

    Weighted error minimization in assigning prosodic structure for synthetic speech

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    Prominence in Indonesian Stress, Phrases, and Boundaries

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    Many (Western) languages have word-based stress, which entails that one, predictable syllable per word is more prominent than all the other syllables in that word. Some linguists claim that such stresses also occur in Indonesian. In this article, we set out to investigate that claim using experimental, phonetic methods. The results confirm our hypothesis that Indonesian lacks word-based stress. Yet, we do observe some kind of prominence pattern. In the last part of this article, we search for the phonological phenomenon that generates this pattern, exploring the level of the phrase to see whether phrasal accents or boundary markers are likely candidates

    Differential contribution of prosodic cues in the native and non-native segmentation of French speech

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    This is the published version, also available here: http://dx.doi.org/10.1515/lp-2012-0018.This study investigates the use of prosodic information in the segmentation of French speech by mid-level and high-level English second/foreign language (L2) learners of French and native French listeners. The results of two word-monitoring tasks, one with natural stimuli and one with resynthesized stimuli, show that as L2 learners become more proficient in French, they go from parsing accented syllables as word-initial to parsing them as word-final, but unlike native listeners, they use duration increase but not fundamental frequencyx (F0) rise as a cue to word-final boundaries. These results are attributed to: (1) the L2 learners' native language, in which F0 rise is a reliable cue to word-initial boundaries but not word-final boundaries; (2) the co-occurrence of F0 and duration cues in word-final syllables in French, rendering L2 learners' use of F0 rise unnecessary for locating word-final boundaries; and (3) the optional marking of word-initial boundaries by F0 cues in French, thus making it difficult for non-native listeners to tease the two types of F0 rise apart. We argue that these factors prevent English listeners from attending to F0 rise as a cue to word-final boundaries in French, irrespective of their proficiency in French

    Second language acquisition of intonation: the case of Dutch near-native speakers of Greek

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    Exploiting Contextual Information for Prosodic Event Detection Using Auto-Context

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    Prosody and prosodic boundaries carry significant information regarding linguistics and paralinguistics and are important aspects of speech. In the field of prosodic event detection, many local acoustic features have been investigated; however, contextual information has not yet been thoroughly exploited. The most difficult aspect of this lies in learning the long-distance contextual dependencies effectively and efficiently. To address this problem, we introduce the use of an algorithm called auto-context. In this algorithm, a classifier is first trained based on a set of local acoustic features, after which the generated probabilities are used along with the local features as contextual information to train new classifiers. By iteratively using updated probabilities as the contextual information, the algorithm can accurately model contextual dependencies and improve classification ability. The advantages of this method include its flexible structure and the ability of capturing contextual relationships. When using the auto-context algorithm based on support vector machine, we can improve the detection accuracy by about 3% and F-score by more than 7% on both two-way and four-way pitch accent detections in combination with the acoustic context. For boundary detection, the accuracy improvement is about 1% and the F-score improvement reaches 12%. The new algorithm outperforms conditional random fields, especially on boundary detection in terms of F-score. It also outperforms an n-gram language model on the task of pitch accent detection

    English prosodic marking of Information Structure by L1-Japanese second language learners

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    Ph.D. Thesis. University of Hawaiʻi at Mānoa 2018

    L1 Influences on Bulgarian-Accented German : Prosodic Units and Prenuclear Pitch Accents

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    This study investigates the L1 influence on the use of accentual patterns, choice of prenuclear pitch accent types and their realization on L2 prosody. We use Mennen’s LILt model as a framework for our analysis. We recorded ten Bulgarian female speakers of German and ten female native German speakers who read Aesop’s fable The North Wind and the Sun. We found that the tendency for the Bulgarian native speakers to use more pitch accents than German native speakers is transferred to the L2 German of the Bulgarian learners. L*+H was the most frequent prenuclear pitch accent used by all groups. We also found that the Bulgarian learners stressed more function words and tolerated more stress clashes than the native German speakers. When speaking German, under the influence of the statistical regularities that relate to prosodic word patterns in their mother tongue, Bulgarian learners phrased their L2 speech into a higher number of shorter prosodic words, and therefore realized more pitch accents and aligned the high tonal target earlier than the native speakers. Concerning the variable alignment of the high target, we propose the prosodic word or the two-syllable window as the tentative candidate for an anchorage region. Our findings can be explained with respect to age of learning, as proposed by LILt’s general theoretical assumptions
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