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Results: 6
Number of items: 6
  • Open Access
    Tienkamp, T. B., van Son, R. J. J. H., & Halpern, B. M. (2023). Objective speech outcomes after surgical treatment for oral cancer: An acoustic analysis of a spontaneous speech corpus containing 32.850 tokens. Journal of Communication Disorders, 101, Article 106292. https://doi.org/10.1016/j.jcomdis.2022.106292
  • Open Access
    Halpern, B. M., Feng, S., van Son, R., van den Brekel, M., & Scharenborg, O. (2022). Low-resource automatic speech recognition and error analyses of oral cancer speech. Speech Communication, 141, 14-27. https://doi.org/10.1016/j.specom.2022.04.006
  • Open Access
    Halpern, B. M. (2022). Making speech technology accessible for pathological speakers. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Illa, M., Halpern, B. M., van Son, R., Moro-Velázquez, L., & Scharenborg, O. (2021). Pathological voice adaptation with autoencoder-based voice conversion. In 11th ISCA Speech Synthesis Workshop: Budapest, Hungary, 26-28 August 2021 (pp. 19-24). ISCA. https://doi.org/10.21437/SSW.2021-4
  • Open Access
    Halpern, B. M., Kelly, F., van Son, R., & Alexander, A. (2020). Residual networks for resisting noise: analysis of an embeddings-based spoofing countermeasure. In Odyssey 2020 The Speaker and Language Recognition Workshop: 1-5 November 2020, Tokyo, Japan (pp. 326-332). International Speech Communication Association. https://doi.org/10.21437/Odyssey.2020-46
  • Open Access
    Halpern, B. M., van Son, R., van den Brekel, M., & Scharenborg, O. (2020). Detecting and analysing spontaneous oral cancer speech in the wild. Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH, 21, 4826-4830. https://doi.org/10.21437/Interspeech.2020-1598
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