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Analysis of the Possibilities to Adapt the Foreign Language Speech Recognition Engines for the Lithuanian Spoken Commands Recognition

机译:分析将外语语音识别引擎用于立陶宛语口语命令识别的可能性

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This paper presents our activities trying to adapt the foreign language based speech recognition engine for the recognition of the Lithuanian speech commands. The speakers of less popular languages (such as the Lithuanian) have several choices: to develop own speech recognition engines or to try adapting the speech recognition models developed and trained for the foreign languages to the task of recognition of their native spoken language. The first approach is expensive in time, financial and human resources sense. The second approach can lead to the faster implementation of the Lithuanian speech recognition modules into some practical tasks but the proper adaptation and optimization procedures should be found and investigated. This paper presents some of our efforts trying to adapt the foreign language oriented speech recognition engines for the recognition of the Lithuanian speech commands for the speaker-independent applications. The experimental investigation shows that the promising results could be achieved with relatively modest investments.
机译:本文介绍了我们的活动,试图使基于外语的语音识别引擎适应立陶宛语语音命令的识别。不太流行的语言(如立陶宛语)的使用者有多种选择:开发自己的语音识别引擎,或尝试使为外语开发和训练的语音识别模型适应其母语的识别任务。第一种方法在时间,财务和人力资源上花费很大。第二种方法可以将立陶宛语语音识别模块更快地实施为一些实际任务,但是应该找到并研究适当的适应和优化程序。本文介绍了我们所做的一些尝试,这些尝试试图将面向外语的语音识别引擎用于识别独立于说话者的应用程序的立陶宛语语音命令。实验研究表明,用相对适度的投资就可以取得可喜的结果。

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