32 citations · 84 across the 27 of their papers we have counts for
3 papers · 1 filter
Time-Contrastive Learning Based Deep Bottleneck Features for Text-Dependent Speaker Verification
Achintya kr. Sarkar, Zheng-Hua Tan, Hao Tang +2
There are a number of studies about extraction of bottleneck (BN) features from deep neural networks (DNNs)trained to discriminate speakers, pass-phrases and triphone states for im…
MCE 2018: The 1st Multi-target Speaker Detection and Identification Challenge Evaluation
Suwon Shon, Najim Dehak, Douglas Reynolds +1
The Multi-target Challenge aims to assess how well current speech technology is able to determine whether or not a recorded utterance was spoken by one of a large number of blackli…
VoiceID Loss: Speech Enhancement for Speaker Verification
Suwon Shon, Hao Tang, James Glass
In this paper, we propose VoiceID loss, a novel loss function for training a speech enhancement model to improve the robustness of speaker verification. In contrast to the commonly…