no code implementations • 3 May 2022 • Woo Hyun Kang, Jahangir Alam, Abderrahim Fathan
The main objective of the spoofing countermeasure system is to detect the artifacts within the input speech caused by the speech synthesis or voice conversion process.
no code implementations • 7 Dec 2021 • Woo Hyun Kang, Jahangir Alam, Abderrahim Fathan
Over the recent years, various deep learning-based methods were proposed for extracting a fixed-dimensional embedding vector from speech signals.
no code implementations • 6 Feb 2021 • Hyeongju Kim, Woo Hyun Kang, Hyeonseung Lee, Nam Soo Kim
Photoplethysmogram (PPG) signal-based blood pressure (BP) estimation is a promising candidate for modern BP measurements, as PPG signals can be easily obtained from wearable devices in a non-invasive manner, allowing quick BP measurement.
1 code implementation • 22 Oct 2020 • Sung Hwan Mun, Woo Hyun Kang, Min Hyun Han, Nam Soo Kim
In this paper, we propose a simple but powerful unsupervised learning method for speaker recognition, namely Contrastive Equilibrium Learning (CEL), which increases the uncertainty on nuisance factors latent in the embeddings by employing the uniformity loss.
no code implementations • 22 Oct 2020 • Sung Hwan Mun, Woo Hyun Kang, Min Hyun Han, Nam Soo Kim
This paper describes our submission to Task 1 of the Short-duration Speaker Verification (SdSV) challenge 2020.
Audio and Speech Processing Sound
1 code implementation • 8 Jun 2020 • Hyeongju Kim, Hyeonseung Lee, Woo Hyun Kang, Sung Jun Cheon, Byoung Jin Choi, Nam Soo Kim
In recent years, various flow-based generative models have been proposed to generate high-fidelity waveforms in real-time.
1 code implementation • NeurIPS 2020 • Hyeongju Kim, Hyeonseung Lee, Woo Hyun Kang, Joun Yeop Lee, Nam Soo Kim
Flow-based generative models are composed of invertible transformations between two random variables of the same dimension.
Ranked #3 on Point Cloud Generation on ShapeNet Airplane
1 code implementation • 21 Oct 2019 • Won Ik Cho, Jeonghwa Cho, Woo Hyun Kang, Nam Soo Kim
Analyzing how human beings resolve syntactic ambiguity has long been an issue of interest in the field of linguistics.
1 code implementation • 31 Oct 2018 • Won Ik Cho, Sung Jun Cheon, Woo Hyun Kang, Ji Won Kim, Nam Soo Kim
For readability and disambiguation of the written text, appropriate word segmentation is recommended for documentation, and it also holds for the digitized texts.
1 code implementation • 10 Oct 2018 • Won Ik Cho, Young Ki Moon, Woo Hyun Kang, Nam Soo Kim
Intention identification is a core issue in dialog management.
no code implementations • SEMEVAL 2018 • Won Ik Cho, Woo Hyun Kang, Nam Soo Kim
This paper proposes a novel feature extraction process for SemEval task 3: Irony detection in English tweets.