16 citations · 102 across the 27 of their papers we have counts for
3 papers · 1 filter
Attentive max feature map and joint training for acoustic scene classification
Hye-jin Shim, Jee-weon Jung, Ju-ho Kim +1
Various attention mechanisms are being widely applied to acoustic scene classification. However, we empirically found that the attention mechanism can excessively discard potential…
Self-supervised pre-training with acoustic configurations for replay spoofing detection
Hye-jin Shim, Hee-Soo Heo, Jee-weon Jung +1
Constructing a dataset for replay spoofing detection requires a physical process of playing an utterance and re-recording it, presenting a challenge to the collection of large-scal…
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…