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VITS: Quality Vs. Speed Analysis

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Text, Speech, and Dialogue (TSD 2023)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 14102))

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Abstract

In this paper, we analyze the performance of a modern end-to-end speech synthesis model called Variational Inference with adversarial learning for end-to-end Text-to-Speech (VITS). We build on the original VITS model and examine how different modifications to its architecture affect synthetic speech quality and computational complexity. Experiments with two Czech voices, a male and a female, were carried out. To assess the quality of speech synthesized by the different modified models, MUSHRA listening tests were performed. The computational complexity was measured in terms of synthesis speed over real time. While the original VITS model is still preferred regarding speech quality, we present a modification of the original structure with a significantly better response yet providing acceptable output quality. Such a configuration can be used when system response latency is critical.

This research was supported by the Technology Agency of the Czech Republic (TA CR), project No. TL05000546.

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Notes

  1. 1.

    https://github.com/coqui-ai/TTS.

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Acknowledgements

Computational resources were provided by the e-INFRA CZ project (ID:90140), supported by the Ministry of Education, Youth and Sports of the Czech Republic.

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Authors and Affiliations

  1. Department of Cybernetics, Faculty of Applied Sciences, University of West Bohemia, Plzeň, Czech Republic

    Jindřich Matoušek

  2. New Technology for the Information Society (NTIS), Faculty of Applied Sciences, University of West Bohemia, Plzeň, Czech Republic

    Jindřich Matoušek & Daniel Tihelka

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  1. Jindřich Matoušek
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  2. Daniel Tihelka
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Correspondence to Jindřich Matoušek .

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Editors and Affiliations

  1. University of West Bohemia, Pilsen, Czech Republic

    Kamil Ekštein

  2. University of West Bohemia, Pilsen, Czech Republic

    František Pártl

  3. University of West Bohemia, Pilsen, Czech Republic

    Miloslav Konopík

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Matoušek, J., Tihelka, D. (2023). VITS: Quality Vs. Speed Analysis. In: Ekštein, K., Pártl, F., Konopík, M. (eds) Text, Speech, and Dialogue. TSD 2023. Lecture Notes in Computer Science(), vol 14102. Springer, Cham. https://doi.org/10.1007/978-3-031-40498-6_19

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  • DOI: https://doi.org/10.1007/978-3-031-40498-6_19

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  • Online ISBN: 978-3-031-40498-6

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