Neural speech-rate conversion with multispeaker WaveNet vocoder

Author:

Okamoto TakumaORCID,Matsubara KeisukeORCID,Toda TomokiORCID,Shiga Yoshinori,Kawai Hisashi

Publisher

Elsevier BV

Subject

Computer Science Applications,Computer Vision and Pattern Recognition,Linguistics and Language,Language and Linguistics,Communication,Modeling and Simulation,Software

Reference76 articles.

1. Asakawa, C., Takagi, H., Ino, S., Ifukube, T., 2003. Maximum listening speeds for the blind. In: Proc. ICAD. pp. 276–279.

2. Bae, J.-S., Bae, H., Joo, Y.-S., Lee, J., Lee, G.-H., Cho, H.-Y., 2020. Speaking speed control of end-to-end speech synthesis using sentence-level conditioning. In: Proc. Interspeech. pp. 4402–4406.

3. Bińkowski, M., Donahue, J., Dieleman, S., Clark, A., Elsen, E., Casagrande, N., Cobo, L.C., Simonyan, K., 2020. High fidelity speech synthesis with adversarial networks. In: Proc. ICLR.

4. How many words do we read per minute? A review and meta-analysis of reading rate;Brysbaert;J. Mem. Lang.,2019

5. Automatic and reliable estimation of glottal closure instant and period;Cheng;IEEE Trans. Acoust. Speech. Signal Process.,1989

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1. Harmonic-Net: Fundamental Frequency and Speech Rate Controllable Fast Neural Vocoder;IEEE/ACM Transactions on Audio, Speech, and Language Processing;2023

2. C-CycleTransGAN: A Non-parallel Controllable Cross-gender Voice Conversion Model with CycleGAN and Transformer;2022 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC);2022-11-07

3. Investigation into Target Speaking Rate Adaptation for Voice Conversion;Interspeech 2022;2022-09-18

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