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[Keyword] prominence(2hit)

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  • A Study on Pitch Patterns in Japanese Speakers of English with Verification by Speech Re-Synthesis

    Tomoko NARIAI  Kazuyo TANAKA  

     
    PAPER-Speech and Hearing

      Vol:
    E94-D No:12
      Page(s):
    2495-2502

    Certain irregularities in the utterances of words or phrases often occur in English spoken by Japanese native subject, referred to in this article as Japanese English. Japanese English is linguistically presumed to reflect the phonetic characteristics of Japanese. We consider the prosodic feature patterns as one of the most common causes of irregularities in Japanese English, and that Japanese English would have better prosodic patterns if its particular characteristics were modified. This study investigates prosodic differences between Japanese English and English speakers' English, and shows the quantitative results of a statistical analysis of pitch. The analysis leads to rules that show how to modify Japanese English to have pitch patterns closer to those of English speakers. On the basis of these rules, the pitch patterns of test speech samples of Japanese English are modified, and then re-synthesized. The modified speech is evaluated in a listening experiment by native English subjects. The result of the experiment shows that on average, over three-fold of the English subjects support the proposed modification against original speech. Therefore, the results of the experiments indicate practical verification of validity of the rules. Additionally, the results suggest that irregularities of prominence lie in Japanese English sentences. This can be explained by the prosodic transfer of first language prosodic characteristics on second language prosodic patterns.

  • Study of Prominence Detection Based on Various Phone-Specific Features

    Sung Soo KIM  Chang Woo HAN  Nam Soo KIM  

     
    LETTER-Speech and Hearing

      Vol:
    E93-D No:8
      Page(s):
    2327-2330

    In this letter, we present useful features accounting for pronunciation prominence and propose a classification technique for prominence detection. A set of phone-specific features are extracted based on a forced alignment of the test pronunciation provided by a speech recognition system. These features are then applied to the traditional classifiers such as the support vector machine (SVM), artificial neural network (ANN) and adaptive boosting (Adaboost) for detecting the place of prominence.