2 papers
cs.CL2019
Learning document embeddings along with their uncertainties
Santosh Kesiraju, Oldřich Plchot, Lukáš Burget +1
Majority of the text modelling techniques yield only point-estimates of document embeddings and lack in capturing the uncertainty of the estimates. These uncertainties give a notio…
cs.SD2016
Statistical Parametric Speech Synthesis Using Bottleneck Representation From Sequence Auto-encoder
Sivanand Achanta, KNRK Raju Alluri, Suryakanth V Gangashetty
In this paper, we describe a statistical parametric speech synthesis approach with unit-level acoustic representation. In conventional deep neural network based speech synthesis, t…