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DC Field | Value | Language |
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dc.contributor.author | Ali Raheem, Mandeel | - |
dc.contributor.author | Mohammed Salah, Al-Radhi | - |
dc.contributor.author | Tamás Gábor, Csapó | - |
dc.date.accessioned | 2023-03-30T07:01:36Z | - |
dc.date.available | 2023-03-30T07:01:36Z | - |
dc.date.issued | 2023 | - |
dc.identifier.uri | https://link.springer.com/article/10.1007/s11042-022-14005-5 | - |
dc.identifier.uri | https://dlib.phenikaa-uni.edu.vn/handle/PNK/7336 | - |
dc.description | CC BY | vi |
dc.description.abstract | This paper presents an investigation of speaker adaptation using a continuous vocoder for parametric text-to-speech (TTS) synthesis. In purposes that demand low computational complexity, conventional vocoder-based statistical parametric speech synthesis can be preferable. While capable of remarkable naturalness, recent neural vocoders nonetheless fall short of the criteria for real-time synthesis. We investigate our former continuous vocoder, in which the excitation is characterized employing two one-dimensional parameters: Maximum Voiced Frequency and continuous fundamental frequency (F0). | vi |
dc.language.iso | en | vi |
dc.publisher | Springer | vi |
dc.subject | TTS | vi |
dc.subject | fundamental frequency | vi |
dc.title | Investigations on speaker adaptation using a continuous vocoder within recurrent neural network based text-to-speech synthesis | vi |
dc.type | Book | vi |
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