An End to End Bilingual TTS System for Fongbe and Yoruba

Author:

Boco Charbel Arnaud Cedrique Y.ORCID,Dagba Théophile K.

Publisher

Springer International Publishing

Reference30 articles.

1. Shen, J., et al.: Natural TTS synthesis by conditioning WaveNet on mel spectrogram predictions. In: 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 4779–4783. IEEE (2018)

2. Ren, Y., Hu, C., Tan, X., Qin, T., Zhao, S., Zhao, Z., Liu, T.-Y.: Fastspeech 2: fast and high-quality end-to-end text to speech. ArXiv Prepr. ArXiv:200604558 (2020)

3. Mu, Z., Yang, X., Dong, Y.: Review of end-to-end speech synthesis technology based on deep learning. ArXiv Prepr. ArXiv210409995 (2021)

4. Nekvinda, T., Dušek, O.: One model, many languages: meta-learning for multilingual text-to-speech. ArXiv Prepr. ArXiv200800768 (2020)

5. Lee, Y., Shon, S., Kim, T.: Learning pronunciation from a foreign language in speech synthesis networks. ArXiv Prepr. ArXiv181109364 (2018)

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