Minhwa Chung

Learn More
* Phonetic transcriptions are often manually encoded in a pronunciation lexicon. This process is time consuming and requires linguistic expertise. Moreover, it is very difficult to maintain consistency. To handle these problems, we present a model that produces Korean pronunciation variants based on morphophonological analysis. By analyzing phonological(More)
In this paper, we describe a cross-morpheme pronunciation variation model which is especially useful for constructing morpheme-based pronunciation lexicon for Korean LVCSR. There are a lot of pronunciation variations occurring at morpheme boundaries in continuous speech. Since phonemic context together with morphological category and morpheme boundary(More)
We present an improved method of compactly organizing the decoding network for a semi-dynamic network decoder. In the previous work [1], the network management units called sub-networks were made compact by self-structuring themselves. We improve this subnetwork representation in two aspects by employing the shared-tail topology [2]. Firstly, we localize(More)