多语言孤立数字语料库的开发

Emmanuel Malaay, Michael Simora, R. J. Cabatic, Nathaniel Oco, R. Roxas
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引用次数: 0

摘要

我们提出了一个多语言语音语料库孤立的数字。作为案例研究,我们将重点放在菲律宾的语言上:英语、菲律宾语、伊洛卡诺语、宿雾诺语和西班牙语。我们的独立数字语音语料库持续时间近9小时,来自262个说话者。这些数据是词级注释,并将用于使用ASR工具包训练声学模型。语料库将用于自动语音识别(ASR)系统,因此数据库必须足以开发自动语音识别系统。
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Development of a multilingual isolated digits speech corpus
We present a multilingual speech corpus for isolated digits. As case study, we focused on languages in the Philippines: English, Filipino, Ilocano, Cebuano, and Spanish. Our isolated digits speech corpus has a duration of almost nine hours, collection from 262 speakers. These data were word- level annotated and will be used to train the acoustic models using the ASR toolkits. The corpus will be used for an automatic speech recognition (ASR) system and therefore the database must be sufficient to develop an ASR system.
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