3 papers
eess.AS2024
Bridging the Gap between Audio and Text using Parallel-attention for User-defined Keyword Spotting
Youkyum Kim, Jaemin Jung, Jihwan Park +2
This paper proposes a novel user-defined keyword spotting framework that accurately detects audio keywords based on text enrollment. Since audio data possesses additional acoustic…
eess.AS2024
VoxSim: A perceptual voice similarity dataset
Junseok Ahn, Youkyum Kim, Yeunju Choi +4
This paper introduces VoxSim, a dataset of perceptual voice similarity ratings. Recent efforts to automate the assessment of speech synthesis technologies have primarily focused on…
eess.AS2022
Metric Learning for User-defined Keyword Spotting
Jaemin Jung, Youkyum Kim, Jihwan Park +4
The goal of this work is to detect new spoken terms defined by users. While most previous works address Keyword Spotting (KWS) as a closed-set classification problem, this limits t…