Abstract
In a previous work we presented a method to combine the acoustic characteristics of a speech synthesis model with the linguistic characteristics of another one. This paper presents a more extensive evaluation of the method when applied to cross-lingual adaptation. A large number of voices from a database in Spanish are adapted to Basque, Catalan, English and Galician. Using a state-of-the-art speaker identification system, we show that the proposed method captures the identity of the target speakers almost as well as standard intra-lingual adaptation techniques.
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Acknowledgments
This research was funded by the Spanish Government (project TEC2015-65345-P and BES-2013-063708), the Galician Government through the research contract GRC2014/024 (Modalidade: Grupos de Referencia Competitiva 2014) and ‘AtlantTIC’ CN2012/160, the European Regional Development Fund (ERDF) and the COST Action IC1206.
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Magariños, C., Erro, D., Lopez-Otero, P., Banga, E.R. (2016). Language-Independent Acoustic Cloning of HTS Voices: An Objective Evaluation. In: Abad, A., et al. Advances in Speech and Language Technologies for Iberian Languages. IberSPEECH 2016. Lecture Notes in Computer Science(), vol 10077. Springer, Cham. https://doi.org/10.1007/978-3-319-49169-1_6
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DOI: https://doi.org/10.1007/978-3-319-49169-1_6
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