Search Results for author: Pilar Oplustil-Gallegos

Found 2 papers, 0 papers with code

Location, Location: Enhancing the Evaluation of Text-to-Speech Synthesis Using the Rapid Prosody Transcription Paradigm

no code implementations6 Jul 2021 Elijah Gutierrez, Pilar Oplustil-Gallegos, Catherine Lai

Text-to-Speech synthesis systems are generally evaluated using Mean Opinion Score (MOS) tests, where listeners score samples of synthetic speech on a Likert scale.

Speech Synthesis Text-To-Speech Synthesis

Using previous acoustic context to improve Text-to-Speech synthesis

no code implementations7 Dec 2020 Pilar Oplustil-Gallegos, Simon King

Many speech synthesis datasets, especially those derived from audiobooks, naturally comprise sequences of utterances.

Speech Synthesis Text-To-Speech Synthesis

Cannot find the paper you are looking for? You can Submit a new open access paper.