Predicted Phase Using Deep Neural Networks to Enhance Esophageal Speech
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-27762-7_7
Reference12 articles.
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2. Ouattassi, N., et al.: Acoustic assessment of erygmophonic speech of Moroccan laryngectomized patients. Pan Afr. Med. J. 21, 270 (2015). https://doi.org/10.11604/pamj.2015.21.270.4301
3. García, S.L., Raman, S., Hernáez, R.I., Navas, C.E., Sanchez, J., Saratxaga, I.: A Spanish multispeaker database of esophageal speech. Comput. Speech Lang. 66 (2021). https://doi.org/10.1016/j.csl.2020.101168
4. Doi, H., Nakamura, K., Toda, T., Saruwatari, H., Shikano, K.: Esophageal speech enhancement based on statistical voice conversion with Gaussian mixture models. IEICE Trans. Inf. Syst. E93-D(9), 2472–2482. (2010). https://doi.org/10.10007/1234567890
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