Spoken Language Corpora Augmentation with Domain-Specific Voice-Cloned Speech

• Autorzy: Czyżnikiewicz Mateusz , Bondaruk Łukasz , Kubiak Jakub , Wiącek Adam , Degórski Łukasz , Kubis Marek , Skórzewski Paweł

Identyfikatory

DOI

10.15439/2024F9637

• Konferencja: Federated Conference on Computer Science and Information Systems (19 ; 08-11.09.2024 ; Belgrade, Serbia)
• Języki publikacji: EN

Abstrakty

EN

In this paper we study the impact of augmenting spoken language corpora with domain-specific synthetic samples for the purpose of training a speech recognition system. Using both a conventional neural text-to-speech system and a zero-shot one with voice cloning ability we generate speech corpora that vary in the number of voices. We compare speech recognition models trained with addition of different amounts of synthetic data generated using these two methods with a baseline model trained solely on voice recordings. We show that while the quality of voice-cloned dataset is lower, its increased multivoiceity makes it much more effective than the one with only a few voices synthesized with the use of a conventional neural text-to-speech system. Furthermore, our experiments indicate that using low variability synthetic speech quickly leads to saturation in the quality of the ASR whereas high variability speech provides improvement even when increasing total amount of data used for training by 30%.

Słowa kluczowe

EN

training; computer science; cloning; speech recognition; data models; recording; speech synthesis; synthetic data

PL

szkolenia; informatyka; klonowanie; rozpoznawanie mowy; modele danych; synteza mowy; dane syntetyczne

• Wydawca: Polskie Towarzystwo Informatyczne
• Czasopismo: Annals of Computer Science and Information Systems
• Rocznik: 2024
• Tom: Vol. 39
• Strony: 579--584
• Opis fizyczny: Bibliogr. 41 poz., il., tab., wykr.

Twórcy

autor

Czyżnikiewicz Mateusz

• Samsung R&D Institute Poland Plac Europejski 1 00-844 Warszawa, Poland

autor

Bondaruk Łukasz

• Samsung R&D Institute Poland Plac Europejski 1 00-844 Warszawa, Poland

autor

Kubiak Jakub

• Samsung R&D Institute Poland Plac Europejski 1 00-844 Warszawa, Poland

autor

Wiącek Adam

• Samsung R&D Institute Poland Plac Europejski 1 00-844 Warszawa, Poland

autor

Degórski Łukasz

• Samsung R&D Institute Poland Plac Europejski 1 00-844 Warszawa, Poland

autor

Kubis Marek

• Adam Mickiewicz University, Poland, Faculty of Mathematics and Computer Science, ul. Uniwersytetu Poznanskiego 4, 61-614 Poznan, Poland

• https://orcid.org/0000-0002-2016-2598

autor

Skórzewski Paweł

• Adam Mickiewicz University, Poland, Faculty of Mathematics and Computer Science, ul. Uniwersytetu Poznanskiego 4, 61-614 Poznan, Poland

• https://orcid.org/0000-0002-5056-2808

Bibliografia

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Uwagi

Thematic Sessions: Short Papers