R. van Son
- Robust automatic intelligibility assessment techniques evaluated on speakers treated for head and neck cancer
- Computer Speech and Language
- Volume | Issue number
- 28 | 2
- Number of pages
- Document type
- Faculty of Humanities (FGw)
- Amsterdam Center for Language and Communication (ACLC)
It is generally acknowledged that an unbiased and objective assessment of the communication deficiency caused by a speech disorder calls for automatic speech processing tools. In this paper, a new automatic intelligibility assessment method is presented. The method can predict running speech intelligibility in a way that is robust against changes in the text and against differences in the accent of the speaker. It is evaluated on a Dutch corpus comprising longitudinal data of several speakers who have been treated for cancer of the head and the neck. The results show that the method is as accurate as a human listener in detecting trends in the intelligibility over time. By evaluating the intelligibility predictions made with different models trained on distinct texts and accented speech data, evidence for the robustness of the method against text and accent factors is offered.
- go to publisher's site
If you believe that digital publication of certain material infringes any of your rights or (privacy) interests, please let the Library know, stating your reasons. In case of a legitimate complaint, the Library will make the material inaccessible and/or remove it from the website. Please Ask the Library, or send a letter to: Library of the University of Amsterdam, Secretariat, Singel 425, 1012 WP Amsterdam, The Netherlands. You will be contacted as soon as possible.