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Approach to Assessing the Quality of Syllable Pronunciation by Patients in the Process of Speech Rehabilitation Based on Comparison with Healthy Speakers

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Speech and Computer (SPECOM 2024)

Abstract

The article proposes a modification of the methodology for assessing the quality of pronunciation of a patient’s syllables in the process of speech rehabilitation. A modification of the technique consists in applying an approach that allows the use of recordings of healthy speakers to assess the quality of pronunciation of various phonemes. To assess the quality of pronunciation, we use the distance between two files with recordings in wav format; the smaller the distance between two files, the more similar they are considered. Distance calculation methods discussed included DTW, EDR, ERP, LCSS, MSM, and Euclidean distance. The accuracy of the method was tested using values ​​obtained using the instantaneous energy envelope and the Gilbert envelope, in the first case ERP was the most accurate method, in the second EDR. It was revealed that the LCSS and ERP methods perform calculations much longer than other methods and do not have high accuracy, as a result, they are not included in the list of the best calculation methods. The hypothesis that the two means were equal was also tested using the Mann-Whitney method to confirm that the distance between the healthy speaker recording and the preoperative patient recording differs from the distance between the healthy speaker recording and the recording of the patient after surgery. As a result, it turned out that the most accurate and fastest method for calculating the distance between two records is EDR. Analysis of the results obtained showed that this approach is applicable to solving the problem of speech analysis, but requires significant improvements and subsequent research due to the low accuracy of the put forward theories.

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References

  1. Cancer statistics. https://spb.medsi.ru/articles/statistika-onkologicheskikh-zabolevaniy/. Accessed 24 May 2024

  2. Lutsky L., Treger I.: Quality assessment in medical rehabilitation. Phys. Rehabil. Med. Med. Rehabil. 2(1), 39–48 (2020). https://doi.org/10.36425/rehab19266

  3. Novokhrestova, D.: Methods and algorithms of data analysis in assessing the quality of pronunciation of syllables in the process of speech rehabilitation. Thesis,. Doct. phylosophy (computer sci.). – Tomsk, p. 171 (2022)

    Google Scholar 

  4. Iordanishvili, A.K., et al.: Characteristics of relationship to disease in adult patients with chewing-speech apparatus pathology. Rossiyskiy stomatologicheskiy zhurnal. 20(6), 309–314 (2016). https://doi.org/10.18821/1728-28022016;20(6):309-314

    Article  MATH  Google Scholar 

  5. McFee, B., et al.: librosa: audio and music signal analysis in Python. In: SciPy, pp. 18–24 (2015). https://doi.org/10.25080/Majora-7b98e3ed-003

  6. An Introduction to Dynamic Time Warping. https://builtin.com/data-science/dynamic-time-warping. Accessed 24 May 2024

  7. ERP, R: Changing the distance with a real penalty (ERP). (r-project.org). Accessed 24 May 2024

    Google Scholar 

  8. MathWorks: EDR Edit distance on real signals. https://www.mathworks.com/help/signal/ref/edr.html. Accessed 24 May 2024

  9. MSM Multi-scale Template Matching using Python and OpenCV. https://pyimagesearch.com/2015/01/26/multi-scale-template-matching-using-python-opencv/. Accessed 24 May 2024

  10. LCSS: Longest Common Subsequence. https://www.geeksforgeeks.org/longest-common-subsequence-dp-4/. Accessed 24 May 2024

  11. Euclidean Distance (Spatial Analyst). https://pro.arcgis.com/ru/pro-app/latest/tool-reference/spatial-analyst/euclidean-distance.htm. Accessed 24 May 2024

  12. Rivero-Moreno, C., Escalante-Ramírez, B.: Seismic signal detection with time-frequency models. In: Proceedings of Third International Symposium on Time-Frequency and Time-Scale Analysis (TFTS-96), pp. 345–348 (1996). https://doi.org/10.1109/TFSA.1996.547484

  13. Butyrsky, E.Y.: The Hilbert transform and its generalization. Sci. Instrum. 24(4), 30–37 (2014). (in Russian)

    MATH  Google Scholar 

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Acknowledgments

This research was funded by the Ministry of Science and Higher Education of the Russian Federation within the framework of scientific projects carried out by teams of research laboratories of educational institutions of higher education subordinate to the Ministry of Science and Higher Education of the Russian Federation, project number FEWM-2020–0042.

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Correspondence to Dariya Novokhrestova .

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Egle, G., Novokhrestova, D., Tomilina, S., Kostyuchenko, E. (2025). Approach to Assessing the Quality of Syllable Pronunciation by Patients in the Process of Speech Rehabilitation Based on Comparison with Healthy Speakers. In: Karpov, A., Delić, V. (eds) Speech and Computer. SPECOM 2024. Lecture Notes in Computer Science(), vol 15299. Springer, Cham. https://doi.org/10.1007/978-3-031-77961-9_27

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  • DOI: https://doi.org/10.1007/978-3-031-77961-9_27

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-77960-2

  • Online ISBN: 978-3-031-77961-9

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