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…