In speech recognition systems based on statistical methods is possible to transform the speech recognition problem into the finding the most probable path through a speech recognition network (SRN). The path through the SRN identifies sequence of recognized words. For the construction of this SRN the finite-state transducers (FST) and finite-state automata (FSA), known also as finite-state acceptors can be used. The SRN is constructed before or through speech recognition process from acoustic model, language model, and pronunciation lexicon. In this paper we will describe construction of SRN before speech recognition process based on FST for Slovak language using 100k words pronunciation lexicon. In the end of this paper the resulting SRN and result of testing the SRN will be investigated.
展开▼
机译：在基于统计方法的语音识别系统中，可以通过语音识别网络（SRN）将语音识别问题转换为最可能的路径。 通过SRN的路径识别识别的单词的序列。 对于该SRN的构造，可以使用有限状态传感器（FST）和有限状态自动机（FSA），该机构也可用作有限状态受体。 SRN在声学模型，语言模型和发音词典之前或通过语音识别过程构建。 在本文中，我们将在使用100k字发音词典的FST for Slovak语言的基于FST的语音识别过程之前描述SRN的构建。 在本文结束时，将研究产生的SRN和测试SRN的结果。
展开▼
