Keshan Sanjaya Sodimana, Pasindu De Silva, Supheakmungkol Sarin, Oddur Kjartansson, Martin Jansche, Knot Pipatsrisawat, Linne Ha
{"title":"A Step-by-Step Process for Building TTS Voices Using Open Source Data and Frameworks for Bangla, Javanese, Khmer, Nepali, Sinhala, and Sundanese","authors":"Keshan Sanjaya Sodimana, Pasindu De Silva, Supheakmungkol Sarin, Oddur Kjartansson, Martin Jansche, Knot Pipatsrisawat, Linne Ha","doi":"10.21437/SLTU.2018-14","DOIUrl":null,"url":null,"abstract":"The availability of language resources is vital for the development of text-to-speech (TTS) systems. Thus, open source resources are highly beneficial for TTS research communities focused on low-resourced languages. In this paper, we present data sets for 6 low-resourced languages that we open sourced to the public. The data sets consist of audio files, pronunciation lexicons, and phonology definitions for Bangla, Javanese, Khmer, Nepali, Sinhala, and Sundanese. These data sets are sufficient for building voices in these languages. We also describe a recipe for building a new TTS voice using our data together with openly available resources and tools.","PeriodicalId":190269,"journal":{"name":"Workshop on Spoken Language Technologies for Under-resourced Languages","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"31","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Workshop on Spoken Language Technologies for Under-resourced Languages","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.21437/SLTU.2018-14","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 31
Abstract
The availability of language resources is vital for the development of text-to-speech (TTS) systems. Thus, open source resources are highly beneficial for TTS research communities focused on low-resourced languages. In this paper, we present data sets for 6 low-resourced languages that we open sourced to the public. The data sets consist of audio files, pronunciation lexicons, and phonology definitions for Bangla, Javanese, Khmer, Nepali, Sinhala, and Sundanese. These data sets are sufficient for building voices in these languages. We also describe a recipe for building a new TTS voice using our data together with openly available resources and tools.