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Automatic speech recognition of the Mixtec language: An ubiquitous computing application

机译:Mixtec语言的自动语音识别:无处不在的计算应用程序

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摘要

In this work we present the implementation by means of ubiquitous computing of an Automatic Speech Recognizer (ASR) for the Mixtec language. This is proposed as a key development for future speech translation systems between the Mixtec and the Spanish languages in remote communities. The core of the ASR system was built with Hidden Markov Models (HMMs) and the management of its resources was performed with an interface developed with MATLAB. The interface was integrated with scripts that allowed remote access to the ASR by means of the MLConnect for Android devices with Wi-Fi connection. Experiments performed with a smartphone and a tablet PC, both inside a building, showed fast accessibility and word recognition accuracies over 92% for non-native speakers.
机译:在这项工作中,我们通过对Mixtec语言的自动语音识别器(ASR)进行无处不在的计算来介绍该实现。提议将其作为远程社区中Mixtec和西班牙语之间未来语音翻译系统的一项重要开发。 ASR系统的核心是使用隐马尔可夫模型(HMM)构建的,其资源管理是通过使用MATLAB开发的界面来执行的。该接口与脚本集成在一起,该脚本允许通过具有Wi-Fi连接的Android设备的MLConnect远程访问ASR。在建筑物内使用智能手机和平板电脑进行的实验表明,对于非母语人士来说,可访问性和单词识别准确率均超过92%。

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