1. Voice conversion through vector quantization;Abe;J. Acoust. Soc. Japan,1990
2. Arjovsky, M., Bottou, L., 2017. Towards principled methods for training generative adversarial networks. In: 5th International Conference on Learning Representations, ICLR 2017 - Conference Track Proceedings.
3. Bahdanau, D., Cho, K.H., Bengio, Y., 2015. Neural machine translation by jointly learning to align and translate. In: 3rd International Conference on Learning Representations, ICLR 2015 - Conference Track Proceedings.
4. Baudoin, G., Stylianou, Y., 1996. On the transformation of the speech spectrum for voice conversion. In: International Conference on Spoken Language Processing, ICSLP, Proceedings.
5. Biadsy, F., Weiss, R.J., Moreno, P.J., Kanvesky, D., Jia, Y., 2019. Parrotron: An end-to-end speech-to-speech conversion model and its applications to hearing-impaired speech and speech separation. In: Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH.