俄语语音识别技术的最新进展

Daria Vazhenina, K. Markov
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引用次数: 1

摘要

本文对俄语语音识别研究的最新进展进行了综述。尽管底层语音技术大多是语言独立的,但语言之间在结构和语法方面的差异对识别系统的性能有实质性的影响。俄语具有复杂的构词系统,其特点是词序的屈折程度高,词序不固定。这大大降低了传统语言模型的预测能力,从而增加了错误率。当前语音识别系统开发的统计方法需要大量的语音和文本数据。目前已有几个俄语语音数据库,本文给出了它们的描述。此外,我们分析和比较了俄罗斯和捷克共和国开发的几种语音识别系统,并确定了俄罗斯语音技术最有前途的进一步研究方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Recent Developments in the Russian Speech Recognition Technology
In this paper, we present a review of the latest developments in the Russian speech recognition research. Although the underlying speech technology is mostly language independent, differences between languages with respect to their structure and grammar have substantial effect on the recognition systems performance. Russian language has a complicated word formation system which is characterized by high degree of inflection and unrigidness of the word order. This greatly reduces the predictive power of the conventional language models and consequently increases the error rate. Current statistical approach to speech recognition systems development requires large amount of both speech and text data. There exist several databases of Russian speech and their descriptions are given in the paper. In addition, we analyze and compare several speech recognition systems developed in Russia and Czech Republic and identify the most promising directions for further research in Russian speech technology.
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