METHOD OF AUTOMATIC PAUSE PLACEMENT FOR KAZAKH LANGUAGE
Annotation
The paper considers a new pausing method for intonational speech synthesis systems based on the analysis of distributional semantics in large text corpora. The support vector machine and two speech corpora in Kazakh were used for pause prediction. The prediction of pause places was carried out at the level of bigrams, where the input parameters of the bigram were the vector representations of both of its words and their bit string representation in the Brown cluster model. The carried out studies have shown that the proposed pausing method for the automatic speech synthesis systems for the Kazakh language in the narrative style provides high accuracy of pause placement. The importance of homogeneous data usage was confirmed experimentally for solving such problems. Such approach can facilitate the creation of automatic speech synthesis for many languages.
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