activity
20192022
most citedTemporal Convolution for Real-time Keyword Spotting on Mobile Devices

38 citations · 73 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2022★ 1 cited

Reliable Decision from Multiple Subtasks through Threshold Optimization: Content Moderation in the Wild

Donghyun Son, Byounggyu Lew, Kwanghee Choi +5

Social media platforms struggle to protect users from harmful content through content moderation. These platforms have recently leveraged machine learning models to cope with the v…

eess.AS2020★ 8 cited

Attentron: Few-Shot Text-to-Speech Utilizing Attention-Based Variable-Length Embedding

Seungwoo Choi, Seungju Han, Dongyoung Kim +1

On account of growing demands for personalization, the need for a so-called few-shot TTS system that clones speakers with only a few data is emerging. To address this issue, we pro…

cs.CV2019★ 22 cited

MarioNETte: Few-shot Face Reenactment Preserving Identity of Unseen Targets

Sungjoo Ha, Martin Kersner, Beomsu Kim +2

When there is a mismatch between the target identity and the driver identity, face reenactment suffers severe degradation in the quality of the result, especially in a few-shot set…

cs.CV2019★ 4 cited

Towards Real-Time Automatic Portrait Matting on Mobile Devices

Seokjun Seo, Seungwoo Choi, Martin Kersner +4

We tackle the problem of automatic portrait matting on mobile devices. The proposed model is aimed at attaining real-time inference on mobile devices with minimal degradation of mo…

cs.SD2019★ 38 cited

Temporal Convolution for Real-time Keyword Spotting on Mobile Devices

Seungwoo Choi, Seokjun Seo, Beomjun Shin +5

Keyword spotting (KWS) plays a critical role in enabling speech-based user interactions on smart devices. Recent developments in the field of deep learning have led to wide adoptio…