Dong-Hoon Ahn

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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)
Decoding in a precompiled static network, compared with one in a dynamically managed network, is easier to implement and faster enough to yield a near real time response. However, when the recognition system handles a complex task, it has a problem of intensive memory usage. To overcome this weakness, we present a new decoding strategy that combines the(More)
In this paper, we describe our LVCSR system for Korean broadcast news transcription. The main focus here is to find the most proper morpheme-based lexical model for Korean broadcast news recognition to deal with the inflectional flexibilities in Korean. Since there are trade-offs between lexicon size and lexical coverage, and between the length of lexical(More)
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