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An Acoustic Analysis of Voice Before and After Thyroidectomy

  • Conference paper
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Artificial Intelligence and Green Computing (ICAIGC 2023)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 806))

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Abstract

After thyroid surgery, some patients complain of voice disorders, recurrent laryngeal nerve palsy, hoarseness, and breathing problems, which can significantly impact their quality of life. In this paper, we sought to assess and identify the impact of thyroidectomy on voice quality by following some patients before and after surgery. To accomplish this, we collected a dataset of voice recordings from patients one day before, one day after, and one month after thyroid surgery. Then, we extracted acoustic features related to harmonicity and pitch variations in amplitude and duration and used statistical tests to study the discrimination abilities of these features in preoperative and postoperative. The results revealed that the (mean, max, min, and median) fundamental frequency values were not significantly decreased in the first postoperative stage. However, they changed significantly in the second postoperative stage. For females, the Max (F0) was not changed after one day and one month. The other parameters did not differ between the preoperative and postoperative. The analysis and results clarify that thyroidectomy can affect voice quality for up to one month. Further studies are needed to fully understand the factors behind these alterations.

This work has been carried out under the Moroccan-Tunisian research project titled ‘Détection et Classification Multimodale des Troubles Pathologiques de la Voix.’ It is funded by the Ministries of Higher Education and Scientific Research and the Ministries of Higher Education, Scientific Research, and Innovation in Tunisia and Morocco, respectively.

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Author information

Authors and Affiliations

  1. DATA4EARTH Laboratory, Faculty of Science and Technology, University Sultan Moulay Slimane, Beni Mellal, Morocco

    Noura Haddou & Najlae Idrissi

  2. Research Lab. COSIM, Higher School of Communication of Tunis, Carthage University, Carthage, Tunisia

    Sofia Ben Jebara

  3. Department of Otorhinolaryngology, Habib Bourguiba Hospital, Sfax, Tunisia

    Mariam Ben Ayed, Malek Mnejja & Ilhem Charfeddine

  4. Faculty of Medecine, University of Sfax, Sfax, Tunisia

    Mariam Ben Ayed, Malek Mnejja & Ilhem Charfeddine

Authors
  1. Noura Haddou
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  2. Najlae Idrissi
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  3. Sofia Ben Jebara
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  4. Mariam Ben Ayed
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  5. Malek Mnejja
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  6. Ilhem Charfeddine
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Corresponding author

Correspondence to Noura Haddou .

Editor information

Editors and Affiliations

  1. Data Science for Sustainable Earth Laboratory, Faculty of Sciences and Techniques, Sultan Moulay Slimane University, Beni Mellal, Morocco

    Najlae Idrissi

  2. Data Science for Sustainable Earth Laboratory, Faculty of Sciences and Techniques, Sultan Moulay Slimane University, Beni Mellal, Morocco

    Abdellatif Hair

  3. ENSIAS, Mohammed V University, Rabat, Morocco

    Mohamed Lazaar

  4. Data Science for Sustainable Earth Laboratory, Faculty of Sciences and Techniques, Sultan Moulay Slimane University, Beni Mellal, Morocco

    Youssef Saadi

  5. Data Science for Sustainable Earth Laboratory, Faculty of Sciences and Techniques, Sultan Moulay Slimane University, Beni Mellal, Morocco

    Mohammed Erritali

  6. Faculty of Sciences and Techniques, Hassan First University, Settat, Morocco

    Said El Kafhali

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Haddou, N., Idrissi, N., Ben Jebara, S., Ben Ayed, M., Mnejja, M., Charfeddine, I. (2023). An Acoustic Analysis of Voice Before and After Thyroidectomy. In: Idrissi, N., Hair, A., Lazaar, M., Saadi, Y., Erritali, M., El Kafhali, S. (eds) Artificial Intelligence and Green Computing. ICAIGC 2023. Lecture Notes in Networks and Systems, vol 806. Springer, Cham. https://doi.org/10.1007/978-3-031-46584-0_5

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