Byeongchang Kim

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Using Higher-Level Linguistic Knowledge For Speech Recognition Error Correction In A Spoken Q/a Dialog

Minwoo Jeong, Byeongchang Kim, Gary Geunbae Lee
2004

Speech interface is often required in many application environments such as telephonebased information retrieval, car navigation systems, and user-friendly interfaces, but the low speech recognition… (More)

Morpheme-based grapheme to phoneme conversion using phonetic patterns and morphophonemic connectivity information

Byeongchang Kim, Gary Geunbae Lee, Jong-Hyeok Lee
ACM Trans. Asian Lang. Inf. Process.
2002

Both dictionary-based and rule-based methods on grapheme-to-phoneme conversion have their own advantages and limitations. For example, a large sized phonetic dictionary and complex morphophonemic… (More)

Attend to You: Personalized Image Captioning with Context Sequence Memory Networks

Cesc Chunseong Park, Byeongchang Kim, Gunhee Kim
2017 IEEE Conference on Computer Vision and…
2017

We address personalization issues of image captioning, which have not been discussed yet in previous research. For a query image, we aim to generate a descriptive sentence, accounting for prior… (More)

Using multiple linguistic features for Mandarin phrase break prediction in maximum-entropy classification framework

Yu Zheng, Gary Geunbae Lee, Byeongchang Kim
INTERSPEECH
2004

We model Mandarin phrase break prediction as a classification problem with three level prosodic structures and apply conditional maximum entropy classification to this problem. We acquire multiple… (More)

C-TOBI-Based Pitch Accent Prediction Using Maximum-Entropy Model

Two-stage multi-intent detection for spoken language understanding

Byeongchang Kim, Seonghan Ryu, Gary Geunbae Lee
Multimedia Tools and Applications
2016

This paper presents a system to detect multiple intents (MIs) in an input sentence when only single-intent (SI)-labeled training data are available. To solve the problem, this paper categorizes input… (More)

Semantic-oriented Error Correction for Spoken Query Processing

Minwoo Jeong, Byeongchang Kim, Gary Geunbae Lee
2003

Voice input is often required in many new application environments such as telephone-based information retrieval, car navigation systems, and user-friendly interfaces, but the low success rate of… (More)

Automatic corpus-based tone and break-index prediction using K-ToBI representation

Jin-Seok Lee, Byeongchang Kim, Gary Geunbae Lee
ACM Trans. Asian Lang. Inf. Process.
2002

In this article we present a prosody generation architecture based on K-ToBI (Korean Tone and Break Index) representation. ToBI is a multitier representation system based on linguistic knowledge that… (More)

Decision-Tree based Error Correction for Statistical Phrase Break Prediction in Korean

In this paper, we present a new phrase break prediction architecture that integrates probabilistic approach with decision-tree based error correction. The probabilistic method alone usually su ers… (More)

Incorporating second-order information into two-step major phrase break prediction for Korean

Seungwon Kim, Jinsik Lee, Byeongchang Kim, Gary Geunbae Lee
INTERSPEECH
2006

In this paper, we present a new phrase break prediction method that integrates second-order information into general maximum entropy model. The phrase break prediction problem was mapped into a… (More)

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