Behavioral Analysis of Pathological Speaker Embeddings of Patients During Oncological Treatment of Oral Cancer
Publication date
2023
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taverne
Abstract
In this paper, we analyze the behavior of speaker embeddings of patients during oral cancer treatment. First, we found that pre- and post-treatment speaker embeddings differ significantly, notifying a substantial change in voice characteristics. However, a partial recovery to pre-operative voice traits is observed after 12 months post-operation. Secondly, the same-speaker similarity at distinct treatment stages is similar to healthy speakers, indicating that the embeddings can capture characterizing features of even severely impaired speech. Finally, a speaker verification analysis signifies a stable false positive rate and variable false negative rate when combining speech samples of different treatment stages. This indicates robustness of the embeddings towards other speakers, while still capturing the changing voice characteristics during treatment. To the best of our knowledge, this is the first analysis of speaker embeddings during oral cancer treatment of patients.
Keywords
oral cancer treatment, pathological speaker embeddings, speaker recognition, Taverne, Language and Linguistics, Human-Computer Interaction, Signal Processing, Software, Modelling and Simulation
Citation
Thienpondt, J, Speksnijder, C M & Demuynck, K 2023, Behavioral Analysis of Pathological Speaker Embeddings of Patients During Oncological Treatment of Oral Cancer. in Proc. INTERSPEECH 2023. pp. 3018-3022, 24th International Speech Communication Association, Interspeech 2023, Dublin, Ireland, 20/08/23. https://doi.org/10.21437/Interspeech.2023-1868, conference