The Pausing Method Based on Brown Clustering and Word Embedding
| Autor: | Yuri Matveev, Arman Kaliyev, Sergey V. Rybin |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Word embedding
Brown clustering Computer science business.industry media_common.quotation_subject Statistical model Speech synthesis 02 engineering and technology computer.software_genre Support vector machine 030507 speech-language pathology & audiology 03 medical and health sciences Perception 0202 electrical engineering electronic engineering information engineering Natural (music) 020201 artificial intelligence & image processing Artificial intelligence 0305 other medical science business computer Sentence Natural language processing media_common |
| Zdroj: | Speech and Computer ISBN: 9783319664286 SPECOM |
| DOI: | 10.1007/978-3-319-66429-3_74 |
| Popis: | One of the most important parts of the synthesis of natural speech is the correct pause placement. Properly placed pauses in speech affect the perception of information. In this article, we consider the method of predicting pause positions for the synthesis of speech. For this purpose, two speech corpora were prepared in the Kazakh language. The input parameters were vector representations of words obtained from the cluster model and from the algorithm of the canonical correlations analysis. The support vector machine was used to predict the pauses within the sentence. Our results show F-1 = 0.781 for pause prediction. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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