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首页> 外文期刊>International Journal of Artificial Intelligence & Applications (IJAIA) >Development of Phoneme Dominated Database for Limited Domain T-T-S in Hindi
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Development of Phoneme Dominated Database for Limited Domain T-T-S in Hindi

机译:印地语有限域T-T-S的音素主导数据库的开发

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Maximum digital information is available to fewer people who can read or understand a particularlanguage. The corpus is the basis for developing speech synthesis and recognition systems. In India, almostall speech research and development affiliations are developing their own speech corpora for Hindilanguage, which is the first language for more than 200 million people. The primary goal of this paper is toreview the speech corpus created by various institutes and organizations so that the scientists and languagetechnologists can recognize the crucial role of corpus development in the field of building ASR and TTSsystems. This aim is to bring together all the information related to the recording, volume and quality ofspeech data in speech corpus to facilitate the work of researchers in the field of speech recognition andsynthesis. This paper describes development of medium size database for Metro rail passenger informationsystems using HMM based technique in our organization for above application. Phoneme is chosen asbasic speech unit of the database. The result shows that a medium size database consisting of 630utterances with 12,614 words, 11572 tokens of phonemes covering 38 phonemes are generated in ourdatabase and it cover maximum possible phonetic context.
机译:能够阅读或理解特定语言的人数更少的人可以获得最大的数字信息。语料库是开发语音合成和识别系统的基础。在印度,几乎所有的语音研究和开发分支机构都在为印地语开发自己的语音语料库,该语料库是超过2亿人的第一语言。本文的主要目的是审查各种机构和组织创建的语音语料库,以便科学家和语言技术人员能够认识到语料库开发在构建ASR和TTS系统领域中的关键作用。目的是将与语音语料库中语音数据的记录,数量和质量有关的所有信息汇总在一起,以方便语音识别和合成领域的研究人员的工作。本文介绍了在组织中使用基于HMM的技术开发地铁乘客信息系统中型数据库的方法。音素被选为数据库的基础语音单元。结果表明,在我们的数据库中,生成了一个中等大小的数据库,该数据库由630个发音和12614个单词组成,涵盖了38个音素的11572个音素标记,并且该数据库涵盖了最大可能的语音上下文。

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