Search Results for author:
Found 5 papers, 2 papers with code
Ensemble prosody prediction for expressive speech synthesis
Generating expressive speech with rich and varied prosody continues to be a challenge for Text-to-Speech.
Controllable Prosody Generation With Partial Inputs
We address the problem of human-in-the-loop control for generating prosody in the context of text-to-speech synthesis.
Prosodic Representation Learning and Contextual Sampling for Neural Text-to-Speech
In Stage II, we propose a novel method to sample from this learnt prosodic distribution using the contextual information available in text.
Perception of prosodic variation for speech synthesis using an unsupervised discrete representation of F0
In English, prosody adds a broad range of information to segment sequences, from information structure (e. g. contrast) to stylistic variation (e. g. expression of emotion).
Using generative modelling to produce varied intonation for speech synthesis
A generative model that can synthesise multiple prosodies will, by design, not model average prosody.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
