| 言語種別 | 英語 |
|---|---|
| 発行・発表の年月 | 2021/06/15 |
| 形態種別 | 学術研究論文 |
| 査読 | 査読あり |
| 標題 | Full-band LPCNet: A real-time neural vocoder for 48 kHz audio with a CPU |
| 執筆形態 | 共著 |
| 掲載誌名 | IEEE Access |
| 掲載区分 | 国外 |
| 出版社・発行元 | IEEE |
| 巻・号・頁 | 9,94923-94933 |
| 著者・共著者 | K. Matsubara, T. Okamoto, R. Takashima, T. Takiguchi, T. Toda, Y. Shiga and H. Kawai |
| 概要 | This paper investigates a real-time neural speech synthesis system on CPUs that can synthesize high-fidelity 48 kHz speech waveforms to cover the entire frequency range audible by human beings. Although most previous studies on 48 kHz speech synthesis have used traditional source-filter vocoders or a WaveNet vocoder for waveform generation, they have some drawbacks regarding synthesis quality or inference speed. LPCNet was proposed as a real-time neural vocoder with a mobile CPU but its sampling frequency is still only 16 kHz. In this paper, we propose a Full-band LPCNet to synthesize high-fidelity 48 kHz speech waveforms with a CPU by introducing some simple but effective modifications to the conventional LPCNet. We then evaluate the synthesis quality using both normal speech and a singing voice. |