{"title":"The development of syllable based text to speech system for Tamil language","authors":"M. Karthikadevi, K. .. Srinivasagan","doi":"10.1109/ICRTIT.2014.6996126","DOIUrl":null,"url":null,"abstract":"Speech synthesis is the most significant applications in linguistic communication process. The Text to Speech structure is the undertaking of accepts the input sentence and converts the audible speech as output. The Tamil language may be a syllable based language. A syllable is the unit of language, which may be spoken independent of the adjacent phones. It consists of an interrupted portion of sound, once the word is pronounced. The task of proposed Text to Speech System for Tamil language includes syllabication, Letter-to-Sound rules and concatenation. Syllabication is that the method of distinguishing the linguistic unit units, that is presented within the given input. The Trainable Text syllabication algorithm is employed for deriving the syllables. The Letter to Sound mapping technique is employed for changing the text to phonemes. These phonemes square measure mapped with the waveform that may be a recorded sound file, which can be a variety of wave files. The recorded sounds are concatenated by Unit selection Speech Synthesis algorithm, which uses the massive databases of recorded speech. The efficient joining cost is required to be calculated for locating the best sequence of speech as synthesized output. Java Media Framework speak engine is employed to synthesis the speech. The proposed text to speech system founded on syllable unit for Tamil language is employed to boost the excellence of speech.","PeriodicalId":422275,"journal":{"name":"2014 International Conference on Recent Trends in Information Technology","volume":"12 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 International Conference on Recent Trends in Information Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICRTIT.2014.6996126","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 9
Abstract
Speech synthesis is the most significant applications in linguistic communication process. The Text to Speech structure is the undertaking of accepts the input sentence and converts the audible speech as output. The Tamil language may be a syllable based language. A syllable is the unit of language, which may be spoken independent of the adjacent phones. It consists of an interrupted portion of sound, once the word is pronounced. The task of proposed Text to Speech System for Tamil language includes syllabication, Letter-to-Sound rules and concatenation. Syllabication is that the method of distinguishing the linguistic unit units, that is presented within the given input. The Trainable Text syllabication algorithm is employed for deriving the syllables. The Letter to Sound mapping technique is employed for changing the text to phonemes. These phonemes square measure mapped with the waveform that may be a recorded sound file, which can be a variety of wave files. The recorded sounds are concatenated by Unit selection Speech Synthesis algorithm, which uses the massive databases of recorded speech. The efficient joining cost is required to be calculated for locating the best sequence of speech as synthesized output. Java Media Framework speak engine is employed to synthesis the speech. The proposed text to speech system founded on syllable unit for Tamil language is employed to boost the excellence of speech.
语音合成是语言交际过程中最重要的应用。语转语结构是接受输入句子,将可听语音转换为输出的过程。泰米尔语可能是一种基于音节的语言。音节是语言的单位,可以独立于相邻的音素而说。一旦单词被发音,它由声音的中断部分组成。提出的泰米尔语文本到语音系统的任务包括音节、字母到声音规则和连接。音节是一种区分语言单位的方法,它是在给定的输入中呈现的。采用可训练文本音节提取算法进行音节提取。字母到声音的映射技术用于将文本转换为音素。这些音素平方测量映射的波形可能是一个录制的声音文件,它可以是各种波文件。采用单元选择语音合成算法,利用海量的录音数据库,将录音进行拼接。为了找到最佳的语音序列作为合成输出,需要计算有效的连接代价。采用Java Media Framework语音引擎进行语音合成。提出了基于音节单位的泰米尔语语篇转语系统,提高了泰米尔语语篇的语音质量。