IL-Ho Yang

A Complete End-to-End Speaker Verification System Using Deep Neural Networks: From Raw Signals to Verification Result

Jee- Weon Jung, Hee-Soo Heo, IL-Ho Yang et al. · 2018 · 70 citations

Deep Neural Networks, Engineering, Raw Signals +12

Avoiding Speaker Overfitting in End-to-End DNNs Using Raw Waveform for Text-Independent Speaker Verification

Jee-weon Jung, Hee-Soo Heo, IL-Ho Yang et al. · 2018 · 57 citations

Speech Perception, Engineering, Machine Learning +11

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 et al. · 2019 · 24 citations

Engineering, Machine Learning, End-to-end Losses +18

Joint Training of Expanded End-to-End DNN for Text-Dependent Speaker Verification

Hee-Soo Heo, Jee-weon Jung, IL-Ho Yang et al. · 2017 · 18 citations

Natural Language Processing, Joint Training, Engineering +7

D-vector based speaker verification system using Raw Waveform CNN

Jee-weon Jung, Hee-Soo Heo, IL-Ho Yang et al. · 2018 · 18 citations · Full text