Abstract
More work is needed to make synthesized speech more natural, easier to understand, and more pleasant to hear.
- Van den Oord, A., Dieleman, S., Zen, H., Simonyan, K., Vinyals, O., Graves, A., and Kalchbrenner, N. WaveNet: A Generative Model for Raw Audio, ArXiv, Cornell University Library, 2016 http://arxiv.org/pdf/1609.03499Google Scholar
- King, S., and Karaiskos, V. The Blizzard Challenge 2016, Blizzard Challenge Workshop, Sept. 2016, Cupertino, CA http://www.festvox.org/blizzard/bc2016/blizzard2016_overview_paper.pdfGoogle Scholar
- Arnela, M., Dabbaghchian, S., Blandin, R., Guasch, O., Engwall, O., Van Hirtum, A., and Pelorson, X. Influence of vocal tract geometry simplifications on the numerical simulation of vowel sounds, Journal of the Acoustical Society of America, 140, 2016.Google Scholar
- Deng, L., Li, J., Huang, J-T., Yao, K., Yu, D., Seide, F., Seltzer, M., Zweig, G., He, X., Williams, J., Gong, Y, and Acero, A. Recent advances in deep learning for speech research at Microsoft, IEEE International Conference on Acoustics, Speech and Signal Processing, 2013 http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6639345Google ScholarCross Ref
- Simon King - Using Speech Synthesis to Give Everyone Their Own Voice https://www.youtube.com/watch?v=xzLpxcpo-EGoogle Scholar
Index Terms
- Thinking deeply to make better speech
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