2 citations · 3 across the 2 of their papers we have counts for
2 papers
cs.LG2019★ 2 cited
Cosine similarity-based adversarial process
Hee-Soo Heo, Jee-weon Jung, Hye-jin Shim +2
An adversarial process between two deep neural networks is a promising approach to train a robust model. In this paper, we propose an adversarial process using cosine similarity, w…
eess.AS2019★ 1 cited
End-to-end losses based on speaker basis vectors and all-speaker hard negative mining for speaker verification
Hee-Soo Heo, Jee-weon Jung, IL-Ho Yang +3
In recent years, speaker verification has primarily performed using deep neural networks that are trained to output embeddings from input features such as spectrograms or Mel-filte…