So far, cross-language voice conversion requires at least one bilin- gual speaker and parallel speech data to perform the training. This paper shows how these ...
We perform a text-independent voice conversion with a three-layered conventional Neural Network (NN) for this purpose. The main contributions include i) Source ...
Nov 14, 2006 · For applications like multi-user speech-to-speech translation, it is helpful to individualize the output voice to make voices distinguishable.
A model for cross-language voice conversion is described and the converted speech from male to female is as understandable as the unconverted speech and, ...
In this work, we introduce a framework for cross-lingual speech synthesis, which involves an upstream Voice Conversion (VC) model and a downstream ...
The implemented system aims at high-quality cross-lingual voice conversion in a text-independent setting, i.e. where the training sets of sentences recorded by ...
The method is shown to be suitable for text-independent and cross-lingual voice conversion, and the conversion scores obtained in our evaluation experiments are ...
Sep 15, 2023 · In this work, we introduce a framework for cross-lingual speech synthesis, which involves an upstream Voice Conversion (VC) model and a downstream Text-To- ...
This thesis deals with text-independent solutions for voice conversion. It first introduces the use of vocal tract length normalization (VTLN) for voice ...
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Sep 17, 2006 · Text-independent cross-language voice conversion ; Multi-Task WaveRNN With an Integrated Architecture for Cross-Lingual Voice Conversion. Zhou Y.