167 citations · 169 across the 3 of their papers we have counts for
3 papers
cs.HC2022★ 2 cited
The Grind for Good Data: Understanding ML Practitioners' Struggles and Aspirations in Making Good Data
Inha Cha, Juhyun Oh, Cheul Young Park +2
We thought data to be simply given, but reality tells otherwise; it is costly, situation-dependent, and muddled with dilemmas, constantly requiring human intervention. The ML commu…
eess.AS2022
Separating Content from Speaker Identity in Speech for the Assessment of Cognitive Impairments
Dongseok Heo, Cheul Young Park, Jaemin Cheun +1
Deep speaker embeddings have been shown effective for assessing cognitive impairments aside from their original purpose of speaker verification. However, the research found that sp…
cs.HC2020★ 167 cited
K-EmoCon, a multimodal sensor dataset for continuous emotion recognition in naturalistic conversations
Cheul Young Park, Narae Cha, Soowon Kang +6
Recognizing emotions during social interactions has many potential applications with the popularization of low-cost mobile sensors, but a challenge remains with the lack of natural…