Search Results for author:
Found 4 papers, 0 papers with code
Voice Filter: Few-shot text-to-speech speaker adaptation using voice conversion as a post-processing module
It uses voice conversion (VC) as a post-processing module appended to a pre-existing high-quality TTS system and marks a conceptual shift in the existing TTS paradigm, framing the few-shot TTS problem as a VC task.
Cross-speaker style transfer for text-to-speech using data augmentation
The proposed approach relies on voice conversion to first generate high-quality data from the set of supporting expressive speakers.
Improving multi-speaker TTS prosody variance with a residual encoder and normalizing flows
This paper proposes a new neural text-to-speech model that approaches the disentanglement problem by conditioning a Tacotron2-like architecture on flow-normalized speaker embeddings, and by substituting the reference encoder with a new learned latent distribution responsible for modeling the intra-sentence variability due to the prosody.
Neural network guided adjoint computations in dual weighted residual error estimation
In this work, we are concerned with neural network guided goal-oriented a posteriori error estimation and adaptivity using the dual weighted residual method.
Numerical Analysis Numerical Analysis
