A ground-breaking Expressive Text-To-Speech platform to create emotionally resonant virtual voices

Informations projet

ETTS

N° de convention de subvention: 190181809

DOI

10.3030/190181809

Projet clôturé

Date de signature de la CE 17 Juin 2022

Date de début 1 Janvier 2022

Date de fin 30 Juin 2024

Financé au titre de

• The European Innovation Council (EIC)

Coût total

€ 2 960 380,15

Contribution de l’UE

€ 2 072 266,00

Coordonné par

VOISEED SRL
Italy

Periodic Reporting for period 2 - ETTS (A ground-breaking Expressive Text-To-Speech platform to create emotionally resonant virtual voices)

Période du rapport: 2023-01-01 au 2024-06-30

Résumé du contexte et des objectifs généraux du projet

Voice is the most powerful medium to deliver content to people, in any language, any culture. Today we are experiencing an ever-increasing demand for global content instantly available worldwide, however, a huge amount of this content is only subtitled and not dubbed. As a result, a large number of stories are never being told, and people can’t enjoy content in their native language. This is due to the traditional approach for expressive voice recording that is time consuming and expensive, while many content creators face budget and time constraint. Text-To-Speech (TTS) solutions are increasingly emerging to overcome the standard voice production pipeline complexity, but they are still not developed enough to achieve the necessary levels of emotions and prosody to give the same sensation as human voices. Content creators, to succeed in increasingly competitive international markets, cannot rely on poor robotic artificial voices.
We have developed the first Deep Learning based technology able to synthesize controllable highly expressive speech in multiple languages with multiple voices. This technology will be the core engine of specific solutions and applications to create and localize expressive voice content for multiple markets and verticals, with the primary aim to “Voice the Unvoiced”.

Travail effectué depuis le début du projet jusqu’à la fin de la période considérée dans le rapport et principaux résultats atteints jusqu’à présent

We have developed and optimised our multilingual deep learning models for AI voice dubbing and production, we developed a user-friendly project management interfaces. We collected a unique proprietary high quality multiemotion multilingual (HEMM) dataset to train our models and reach high-quality standards.
By the end of the project, we have released an enhanced version of the ETTS platform (Revoiceit) which features improved functionality in 16 supported languages consolidating Revoiceit as a powerful tool for AI dubbing and production. The latest version improves the efficiency and accuracy of the virtual voice production process, and offers an even more intuitive and user-friendly experience.

Progrès au-delà de l’état des connaissances et impact potentiel prévu (y compris l’impact socio-économique et les conséquences sociétales plus larges du projet jusqu’à présent)

Our technology is based on pioneering studies on prosody and emotions. Our proprietary models, optimised and trained during this project, allow to move away from the standard artificial, robotic, and inexpressive voices synthesized by standard AI systems. With the ETTS project, we have developed the first generative AI technology able to synthesize phoneme level controllable expressive speech in multiple languages with multiple voices. This was implemented in a user-friendly cloud-based software platform that improves the efficiency and accuracy of the virtual voice production process. We created a new, highly professional solution that can change the workflow of audio localization, helping customers to streamline their process and achieve their audiovisual localisation goals.

ETTS dubbing and production platform