1 citations · 1 across the 2 of their papers we have counts for
3 papers
cs.CL2021
Combining speakers of multiple languages to improve quality of neural voices
Javier Latorre, Charlotte Bailleul, Tuuli Morrill +2
In this work, we explore multiple architectures and training procedures for developing a multi-speaker and multi-lingual neural TTS system with the goals of a) improving the qualit…
cs.CL2020★ 1 cited
Generating Multilingual Voices Using Speaker Space Translation Based on Bilingual Speaker Data
Soumi Maiti, Erik Marchi, Alistair Conkie
We present progress towards bilingual Text-to-Speech which is able to transform a monolingual voice to speak a second language while preserving speaker voice quality. We demonstrat…
cs.CL2020
Scalable Multilingual Frontend for TTS
Alistair Conkie, Andrew Finch
This paper describes progress towards making a Neural Text-to-Speech (TTS) Frontend that works for many languages and can be easily extended to new languages. We take a Machine Tra…