26 citations · 110 across the 16 of their papers we have counts for
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cs.CL2016
DNN-based Speech Synthesis for Indian Languages from ASCII text
Srikanth Ronanki, Siva Reddy, Bajibabu Bollepalli +1
Text-to-Speech synthesis in Indian languages has a seen lot of progress over the decade partly due to the annual Blizzard challenges. These systems assume the text to be written in…
cs.CL2016★ 3 cited
Median-Based Generation of Synthetic Speech Durations using a Non-Parametric Approach
Srikanth Ronanki, Oliver Watts, Simon King +1
This paper proposes a new approach to duration modelling for statistical parametric speech synthesis in which a recurrent statistical model is trained to output a phone transition…
cs.SD2016★ 25 cited
Improving Trajectory Modelling for DNN-based Speech Synthesis by using Stacked Bottleneck Features and Minimum Generation Error Training
Zhizheng Wu, Simon King
We propose two novel techniques --- stacking bottleneck features and minimum generation error training criterion --- to improve the performance of deep neural network (DNN)-based s…