2015
Spectral conversion using deep neural networks trained with multi-source speakers
ICASSP 2015accepted
This paper presents a method for voice conversion using deep neural networks (DNNs) trained with multiple source speakers. The proposed DNNs can be used in two ways for different scenarios: 1) in the absence of training data for source speaker, the DNNs can be treated as source-speaker-independent m…