4 citations · 4 across the 2 of their papers we have counts for
3 papers
cs.SD2019
Speaker Sincerity Detection based on Covariance Feature Vectors and Ensemble Methods
Mohammed Senoussaoui, Patrick Cardinal, Najim Dehak +1
Automatic measuring of speaker sincerity degree is a novel research problem in computational paralinguistics. This paper proposes covariance-based feature vectors to model speech a…
cs.CL2017★ 4 cited
An Empirical Evaluation of Zero Resource Acoustic Unit Discovery
Chunxi Liu, Jinyi Yang, Ming Sun +7
Acoustic unit discovery (AUD) is a process of automatically identifying a categorical acoustic unit inventory from speech and producing corresponding acoustic unit tokenizations. A…
cs.CL2015
A Unified Deep Neural Network for Speaker and Language Recognition
Fred Richardson, Douglas Reynolds, Najim Dehak
Learned feature representations and sub-phoneme posteriors from Deep Neural Networks (DNNs) have been used separately to produce significant performance gains for speaker and langu…