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182 results on '"Kim, Seokhwan"'

181. Improving code-switched ASR with linguistic information

Author

Chi, Jie, Bell, Peter, Calzolari, Nicoletta, Huang, Chu-Ren, Kim, Hansaem, Pustejovsky, James, Wanner, Leo, Choi, Key-Sun, Ryu, Pum-Mo, Chen, Hsin-Hsi, Donatelli, Lucia, Ji, Heng, Kurohashi, Sadao, Paggio, Patrizia, Xue, Nianwen, Kim, Seokhwan, Hahm, Younggyun, He, Zhong, Lee, Tony Kyungil, Santus, Enrico, Bond, Francis, and Na, Seung-Hoon

Abstract

This paper seeks to improve the performance of automatic speech recognition (ASR) systems operating on code-switched speech. Code-switching refers to the alternation of languages within a conversation, a phenomenon that is of increasing importance considering the rapid rise in the number of bilingual speakers in the world. It is particularly challenging for ASR owing to the relative scarcity of code-switching speech and text data, even when the individual languages are themselves well-resourced. This paper proposes to overcome this challenge by applying linguistic theories in order to generate more realistic code-switching text, necessary for language modelling in ASR. Working with English-Spanish code-switching, we find that Equivalence Constraint theory and part-of-speech labelling are particularly helpful for text generation, and bring 2% improvement to ASR performance.

Published
2022

182. Strategic design of emerging (K,Na)NbO 3 -based perovskites for high-performance piezocatalysis and photo-piezocatalysis.

Author

Park S, Jeong HY, Kim S, Peddigari M, Hwang GT, Moon GD, Roh JW, and Min Y

Abstract

As a leading Pb-free perovskite material (ABO 3 -type), potassium sodium niobate (K,Na)NbO 3 (KNN)-based ferroelectrics/piezoelectrics have been widely used in electronics, energy conversion, and storage due to their exceptional ability to interconvert mechanical and electrical energies. Beyond traditional applications, the piezoelectric potential generated by mechanical strain or stress modifies their energy band structures and facilitates charge carrier separation and transport, drawing increasing attention in emerging fields such as piezocatalysis and photo-piezocatalysis. With excellent piezoelectric properties, chemical/thermal stability, and strain-tuning capability, KNN-based materials show great promise for high-performance piezocatalytic applications. Coupling KNN with semiconductors exhibiting strong optical absorption to form heterojunctions further boosts performance by suppressing electron-hole recombination and promoting directed charge transfer, which is crucial for photo-piezocatalysis. The flexibility of KNN's perovskite structures also allows for modifications in chemical composition and crystal structure, enabling diverse design strategies such as defect engineering, phase boundary engineering, morphology control, and heterojunction formation. This review comprehensively explores the recent advancements in KNN-based piezocatalysis and photo-piezocatalysis, starting with an overview of their crystal structures and intrinsic properties. It then explores the role of piezoelectric potential in charge carrier dynamics and catalytic activity, followed by strategic design approaches to optimize efficiency in environmental remediation and energy conversion. Finally, the review addresses current challenges and future research directions aimed at advancing sustainable solutions using KNN-based materials in these applications.

Published
2024
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