Advances in Speech Vocoding for Text-to-Speech with Continuous Parameters
| Autor: | Al-Radhi, Mohammed Salah, Csapó, Tamás Gábor, Németh, Géza |
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| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
FOS: Computer and information sciences
Text-to-speech Sound (cs.SD) Artificial Intelligence (cs.AI) acoustic model Computer Science - Artificial Intelligence Audio and Speech Processing (eess.AS) FOS: Electrical engineering electronic engineering information engineering statistical parametric speech synthesis continuous vocoder Computer Science - Sound Electrical Engineering and Systems Science - Audio and Speech Processing |
| Zdroj: | Artificial Intelligence and Speech Technology ISBN: 9781003150664 |
| Popis: | Vocoders received renewed attention as main components in statistical parametric text-to-speech (TTS) synthesis and speech transformation systems. Even though there are vocoding techniques give almost accepted synthesized speech, their high computational complexity and irregular structures are still considered challenging concerns, which yield a variety of voice quality degradation. Therefore, this paper presents new techniques in a continuous vocoder, that is all features are continuous and presents a flexible speech synthesis system. First, a new continuous noise masking based on the phase distortion is proposed to eliminate the perceptual impact of the residual noise and letting an accurate reconstruction of noise characteristics. Second, we addressed the need of neural sequence to sequence modeling approach for the task of TTS based on recurrent networks. Bidirectional long short-term memory (LSTM) and gated recurrent unit (GRU) are studied and applied to model continuous parameters for more natural-sounding like a human. The evaluation results proved that the proposed model achieves the state-of-the-art performance of the speech synthesis compared with the other traditional methods. Comment: 6 pages, 3 figures, International Conference on Artificial Intelligence and Speech Technology (AIST2020) |
| Databáze: | OpenAIRE |
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