Detecting Speech Disorders Using A Machine-Learning Guided Method in Spontaneous Tunisian Dialect Speech
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s42979-024-02775-8.pdf
Reference35 articles.
1. Alharbi S, Hasan M, Simons AJ, Brumfitt S, Green P. Sequence labeling to detect stuttering events in read speech. Comput Speech Lang. 2020;62: 101052.
2. Bach N, Huang F. Noisy bilstm-based models for disfluency detection. In: Proc Interspeech. 2019;2019:4230–4.
3. Bahou Y, Maaloul M, Boughariou E. Towards the supervised machine learning and the conceptual segmentation technique in the spontaneous Arabic speech understanding. In: Procedia Computer Science, ACLING2017. UAE: Dubai; 2017. p. 225–32.
4. Bouamor H, Hassan S, Habash N. The madar shared task on Arabic fine-grained dialect identification. In: Proceedings of the Fourth Arabic Natural Language Processing Workshop, 2019; p. 199–207.
5. Boughariou E, Bahou Y, Hadrich Belguith L. Linguistic resources construction: Towards disfluency processing in spontaneous Tunisian dialect speech. In: International Conference on text, speech, and dialogue, 2019; pages 316–328. Springer.
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