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Challenges in Speech Processing of Slavic Languages (Case Studies in Speech Recognition of Czech and Slovak)

机译:斯拉夫语言语音处理的挑战(捷克与斯洛伐克演讲识别案例研究)

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Slavic languages pose a big challenge for researchers dealing with speech technology. They exhibit a large degree of inflection, namely declension of nouns, pronouns and adjectives, and conjugation of verbs. This has a large impact on the size of lexical inventories in these languages, and significantly complicates the design of text-to-speech and, in particular, speech-to-text systems. In the paper, we demonstrate some of the typical features of the Slavic languages and show how they can be handled in the development of practical speech processing systems. We present our solutions we applied in the design of voice dictation and broadcast speech transcription systems developed for Czech. Furthermore, we demonstrate how these systems can be converted to another similar Slavic language, in our case Slovak. All the presented systems operate in real time with very large vocabularies (350K words in Czech, 170K words in Slovak) and some of them have been already deployed in practice.
机译:斯拉夫语言为处理语音技术的研究人员构成了一个大挑战。它们表现出大程度的拐点,即名词,代词和形容词的屈服,以及动词的缀合。这对这些语言的词汇清单的大小产生了很大的影响,并且显着使文本到语音的设计变得复杂,特别是语音到文本系统。在论文中,我们展示了斯拉夫语言的一些典型特征,并展示了如何在实用语音处理系统的发展中处理它们。我们提出了我们在为捷克开发的语音听写和广播语音转录系统设计中的解决方案。此外,我们展示了如何将这些系统转换为另一种类似的斯拉夫语言,在我们的案例中斯洛伐克。所有呈现的系统都以非常大的词汇(捷克语,斯洛伐克中的170k字)实时运行(350k字),其中一些已经在实践中部署。

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