Please use this identifier to cite or link to this item: https://rda.sliit.lk/handle/123456789/3311
Title: Step-by-Step Process of Building Voices for Under Resourced Languages using MARY TTS Platform
Authors: Senarathna, M
Pulasinghe, K
Reyal, S
Keywords: Building Voices
Under Resourced Languages
MARY TTS Platform
Step-by-Step
Step-by-Step Process
Issue Date: 9-Dec-2022
Publisher: IEEE
Citation: M. Senarathna, K. Pulasinghe and S. Reyal, "Step-by-Step Process of Building Voices for Under Resourced Languages using MARY TTS Platform," 2022 4th International Conference on Advancements in Computing (ICAC), Colombo, Sri Lanka, 2022, pp. 18-23, doi: 10.1109/ICAC57685.2022.10025200.
Series/Report no.: 2022 4th International Conference on Advancements in Computing (ICAC);
Abstract: This paper presents a comprehensive guide for creating synthetic voices to support under resourced languages for the MaryTTS platform. Although researchers have extensively contributed in the domain of speech synthesis, the lack of a thorough documentation hinders the voice building process for languages not yet supported by MaryTTS, complicating the implementation process for users with inadequate knowledge in the field of Text-to-Speech (TTS). The step-by-step process discussed in this study is further demonstrated with the creation of a synthetic voice for the Sinhala language, with unit selection as the voice building approach. A Sinhalese voice was generated with an intelligibility score of 91.7% upon evaluation with Diagnostic Rhyme Test (DRT). Comparison with ground truth data proved a close approximation to human speech where the intelligibility score was identified as 97.9%, when tested with the same participants. The Mean Opinion Score (MOS) revealed a naturalness level of 2.993, indicating a moderately high speech quality for the proposed system in comparison with the ideal score of 4.972.
URI: https://rda.sliit.lk/handle/123456789/3311
ISBN: 979-8-3503-9809-0
Appears in Collections:4th International Conference on Advancements in Computing (ICAC) | 2022
Department of Information Technology
Research Papers - IEEE
Research Papers - SLIIT Staff Publications
Research Publications -Dept of Information Technology

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