Integrated speech and morphological processing in a connectionist continuous speech understanding for Korean

Geunbae Lee; Jong-Hyeok Lee

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arXiv · cmp-lg/9603005

Integrated speech and morphological processing in a connectionist continuous speech understanding for Korean

Geunbae Lee·Jong-Hyeok Lee

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Abstract

A new tightly coupled speech and natural language integration model is presented for a TDNN-based continuous possibly large vocabulary speech recognition system for Korean. Unlike popular n-best techniques developed for integrating mainly HMM-based speech recognition and natural language processing in a {\em word level}, which is obviously inadequate for morphologically complex agglutinative languages, our model constructs a spoken language system based on a {\em morpheme-level} speech and language integration. With this integration scheme, the spoken Korean processing engine (SKOPE) is designed and implemented using a TDNN-based diphone recognition module integrated with a Viterbi-based lexical decoding and symbolic phonological/morphological co-analysis. Our experiment results show that the speaker-dependent continuous {\em eojeol} (Korean word) recognition and integrated morphological analysis can be achieved with over 80.6% success rate directly from speech inputs for the middle-level vocabularies.

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Geunbae Lee, Jong-Hyeok Lee. 1996-03-18. Integrated speech and morphological processing in a connectionist continuous speech understanding for Korean. https://arxiv.org/abs/cmp-lg/9603005

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