Multi-speaker and Multi-dialectal Catalan TTS Models for Video Gaming

Recently, we explored and trained different state-of-the-art text-to-speech (TTS) architectures for Catalan. We used existing datasets but also produced a new Catalan multi-accent dataset to train these architectures. The objective of our work is to improve the quality of current TTS systems in Catalan and export the resulting models for potential interactive applications and video games.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-09-02
DOI
https://doi.org/10.5281/zenodo.13644560
Primary Topic
Artificial Intelligence in Games
Type
article
Field-Weighted Citation Impact
0.00
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article

Multi-speaker and Multi-dialectal Catalan TTS Models for Video Gaming

Zenodo (CERN European Organization for Nuclear Research)
Artificial Intelligence in Games
article

Multi-speaker and Multi-dialectal Catalan TTS Models for Video Gaming

article en

Abstract

Recently, we explored and trained different state-of-the-art text-to-speech (TTS) architectures for Catalan. We used existing datasets but also produced a new Catalan multi-accent dataset to train these architectures. The objective of our work is to improve the quality of current TTS systems in Catalan and export the resulting models for potential interactive applications and video games.

Zenodo (CERN European Organization for Nuclear Research)
Quality Education
Openalex Percentile: Top 65%
Artificial Intelligence in Games
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Multi-speaker and Multi-dialectal Catalan TTS Models for Video Gaming · Zenodo (CERN European Organization for Nuclear Research) (2024) | TGRS Research Map | TGRS