5 citations · 13 across the 4 of their papers we have counts for
4 papers
Sotto Voce: Federated Speech Recognition with Differential Privacy Guarantees
Michael Shoemate, Kevin Jett, Ethan Cowan +3
Speech data is expensive to collect, and incredibly sensitive to its sources. It is often the case that organizations independently collect small datasets for their own use, but of…
Speech Synthesis as Augmentation for Low-Resource ASR
Deblin Bagchi, Shannon Wotherspoon, Zhuolin Jiang +1
Speech synthesis might hold the key to low-resource speech recognition. Data augmentation techniques have become an essential part of modern speech recognition training. Yet, they…
Recurrent Neural Network Postfilters for Statistical Parametric Speech Synthesis
Prasanna Kumar Muthukumar, Alan W Black
In the last two years, there have been numerous papers that have looked into using Deep Neural Networks to replace the acoustic model in traditional statistical parametric speech s…
A Deep Learning Approach to Data-driven Parameterizations for Statistical Parametric Speech Synthesis
Prasanna Kumar Muthukumar, Alan W. Black
Nearly all Statistical Parametric Speech Synthesizers today use Mel Cepstral coefficients as the vocal tract parameterization of the speech signal. Mel Cepstral coefficients were n…