Search Results for author: JIhwan Lee

Found 5 papers, 0 papers with code

An Empirical Study on L2 Accents of Cross-lingual Text-to-Speech Systems via Vowel Space

no code implementations6 Nov 2022 JIhwan Lee, Jae-Sung Bae, Seongkyu Mun, Heejin Choi, Joun Yeop Lee, Hoon-Young Cho, Chanwoo Kim

With the recent developments in cross-lingual Text-to-Speech (TTS) systems, L2 (second-language, or foreign) accent problems arise.

Into-TTS : Intonation Template Based Prosody Control System

no code implementations4 Apr 2022 JIhwan Lee, Joun Yeop Lee, Heejin Choi, Seongkyu Mun, Sangjun Park, Jae-Sung Bae, Chanwoo Kim

Two proposed modules are added to the end-to-end TTS framework: an intonation predictor and an intonation encoder.

Language Modelling

Locale-agnostic Universal Domain Classification Model in Spoken Language Understanding

no code implementations NAACL 2019 Jihwan Lee, Ruhi Sarikaya, Young-Bum Kim

In this paper, we introduce an approach for leveraging available data across multiple locales sharing the same language to 1) improve domain classification model accuracy in Spoken Language Understanding and user experience even if new locales do not have sufficient data and 2) reduce the cost of scaling the domain classifier to a large number of locales.

Classification General Classification +2

Coupled Representation Learning for Domains, Intents and Slots in Spoken Language Understanding

no code implementations13 Dec 2018 JIhwan Lee, Dongchan Kim, Ruhi Sarikaya, Young-Bum Kim

Our proposed model learns the vector representation of intents based on the slots tied to these intents by aggregating the representations of the slots.

Representation Learning Spoken Language Understanding

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