2026-04-14T08:48:15Zhttps://recercat.cat/oai/request

oai:recercat.cat:10230/457152025-12-24T08:43:02Zcom_2072_6col_2072_452952

CATOTRON – A Neural text-to-speech system in catalan Külebi, Baybars Öktem, Alp Peiró Lilja, Àlex Pascual, Santiago Farrús, Mireia Text-to-speech Sequence-to-sequence Catalan Comunicació presentada a Interspeech 2020 celebrat del 25 al 29 d'octubre de 2020 a Shanghai, Xina. We present Catotron, a neural network-based open-source speech synthesis system in Catalan. Catotron consists of a sequence-to-sequence model trained with two small opensource datasets based on semi-spontaneous and read speech. We demonstrate how a neural TTS can be built for languages with limited resources using found-data optimization and crosslingual transfer learning. We make the datasets, initial models and source code publicly available for both commercial and research purposes. This work was subsidised by the Catalan Department of Culture. A part of the funding comes from the financing administered by the inheritance board of the Generalitat de Catalunya. The last author has been funded by the Agencia Estatal de Investigaci ´on (AEI), Ministerio de Ciencia, Innovaci´on y Universidades and the Fondo Social Europeo (FSE) under grant RYC- 2015-17239 (AEI/FSE, UE). Part of this work has been carried out using an NVIDIA GPU Titan Xp generously provided by NVIDIA Company. This research was also partially supported by the project TEC2015-69266-P (MINECO/FEDER, UE). 2020-11-11T07:30:29Z 2020-11-11T07:30:29Z 2020 info:eu-repo/semantics/conferenceObject info:eu-repo/semantics/publishedVersion Külebi B, Öktem A, Peiró-Lilja A, Pascual S, Farrús M. CATOTRON – A Neural text-to-speech system in catalan. In: Proceedings of Interspeech 2020; 2020 Oct 25-29; Shanghai, China. [Baixas]: ISCA; 2020. p. 490-1. 1990-9772 http://hdl.handle.net/10230/45715 eng Proceedings of Interspeech 2020; 2020 Oct 25-29; Shanghai, China. [Baixas]: ISCA; 2020. http://github.com/CollectivaT-dev/catotron http://github.com/CollectivaT-dev/catotron-cpu http://catotron.collectivat.cat/ info:eu-repo/grantAgreement/ES/1PE/TEC2015-69266-P © 2020 ISCA info:eu-repo/semantics/openAccess application/pdf application/pdf International Speech Communication Association (ISCA)