activity
20192026
most citedBroadcasted Residual Learning for Efficient Keyword Spotting

8 citations · 10 across the 6 of their papers we have counts for

collaborators

6 papers

eess.AS2026

FC-TTS: Style and Timbre Control in Zero-Shot Text-to-Speech with Disentangled Speech Representations

Yoonhyung Lee, Hyunsin Park, Jinhwan Park +1

Recent advances in zero-shot text-to-speech (TTS) have enabled accurate imitation of reference speech in terms of both speaking style and speaker timbre. However, achieving disenta…

cs.CL2024

Improving Commonsense Bias Classification by Mitigating the Influence of Demographic Terms

JinKyu Lee, Jihie Kim

Understanding commonsense knowledge is crucial in the field of Natural Language Processing (NLP). However, the presence of demographic terms in commonsense knowledge poses a potent…

cs.CL2023

Knowledge Distillation from Non-streaming to Streaming ASR Encoder using Auxiliary Non-streaming Layer

Kyuhong Shim, Jinkyu Lee, Simyung Chang +1

Streaming automatic speech recognition (ASR) models are restricted from accessing future context, which results in worse performance compared to the non-streaming models. To improv…

cs.SD2021★ 8 cited

Broadcasted Residual Learning for Efficient Keyword Spotting

Byeonggeun Kim, Simyung Chang, Jinkyu Lee +1

Keyword spotting is an important research field because it plays a key role in device wake-up and user interaction on smart devices. However, it is challenging to minimize errors w…

cs.LG2019

Orthogonality Constrained Multi-Head Attention For Keyword Spotting

Mingu Lee, Jinkyu Lee, Hye Jin Jang +3

Multi-head attention mechanism is capable of learning various representations from sequential data while paying attention to different subsequences, e.g., word-pieces or syllables…

cs.LG2019★ 2 cited

Query-by-example on-device keyword spotting

Byeonggeun Kim, Mingu Lee, Jinkyu Lee +2

A keyword spotting (KWS) system determines the existence of, usually predefined, keyword in a continuous speech stream. This paper presents a query-by-example on-device KWS system…