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Neural Speech Synthesis for Estonian

2020-10-06 11:37:46
Liisa Rätsep, Liisi Piits, Hille Pajupuu, Indrek Hein, Mark Fišel
arXiv_CL
   
Abstract

This technical report describes the results of a collaboration between the NLP research group at the University of Tartu and the Institute of Estonian Language on improving neural speech synthesis for Estonian. The report (written in Estonian) describes the project results, the summary of which is: (1) Speech synthesis data from 6 speakers for a total of 92.4 hours is collected and openly released (CC-BY-4.0). Data available at this https URL and this https URL. (2) software and models for neural speech synthesis is released open-source (MIT license). Available at this https URL . (3) We ran evaluations of the new models and compared them to other existing solutions (HMM-based HTS models from EKI, this http URL, and Google's speech synthesis for Estonian, accessed via this https URL). Evaluation includes voice acceptability MOS scores for sentence-level and longer excerpts, detailed error analysis and evaluation of the pre-processing module.

Abstract (translated)

URL

https://arxiv.org/abs/2010.02636

PDF

https://arxiv.org/pdf/2010.02636.pdf

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