A Tool to Solve Sentence Segmentation Problem on Preparing Speech Database for Indonesian Text-to-speech System

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• 作者：Mohammad Teduh Uliniansyah ; ^{teduh.uliniansyah@bppt.go.id" class="auth_mail" title="E-mail the corresponding author} ; Gunarso ; Elvira Nurfadhilah ; Lyla Ruslana Aini ; Juliati Junde ; Fara Ayuningtyas ; Agung Santosa
• 关键词：training data ; TTS ; segmenting audio data ; Bahasa Indonesia ; Syllable-timed
• 刊名：Procedia Computer Science
• 出版年：2016
• 出版时间：2016
• 年：2016
• 卷：81
• 期：Complete
• 页码：188-193
• 全文大小：515 K

文摘

Creating a training data ready to be used for developing a text-to-speech (TTS) system can be a difficult task, since sometimes the recorded audio data is not the same with the prepared texts. To overcome differences between audio and text data, we developed a tool to segment audio data into sentences. As it is known, doing sentence segmentation of audio data manually needs efforts and resources. This paper presents a solution for alleviating problems encountered during segmentation process of audio data for developing an Indonesian TTS system. The tool was developed based on a fact that bahasa Indonesia is a syllable-timed language. We found that our tool reduces resources needed for segmenting Indonesian audio data.