تقرير
Acoustic-to-Articulatory Speech Inversion Features for Mispronunciation Detection of /r/ in Child Speech Sound Disorders
| العنوان: | Acoustic-to-Articulatory Speech Inversion Features for Mispronunciation Detection of /r/ in Child Speech Sound Disorders |
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| المؤلفون: | Benway, Nina R, Siriwardena, Yashish M, Preston, Jonathan L, Hitchcock, Elaine, McAllister, Tara, Espy-Wilson, Carol |
| المصدر: | Proc. INTERSPEECH 2023, 4568-4572 |
| سنة النشر: | 2023 |
| مصطلحات موضوعية: | Electrical Engineering and Systems Science - Audio and Speech Processing |
| الوصف: | Acoustic-to-articulatory speech inversion could enhance automated clinical mispronunciation detection to provide detailed articulatory feedback unattainable by formant-based mispronunciation detection algorithms; however, it is unclear the extent to which a speech inversion system trained on adult speech performs in the context of (1) child and (2) clinical speech. In the absence of an articulatory dataset in children with rhotic speech sound disorders, we show that classifiers trained on tract variables from acoustic-to-articulatory speech inversion meet or exceed the performance of state-of-the-art features when predicting clinician judgment of rhoticity. Index Terms: rhotic, speech sound disorder, mispronunciation detection Comment: *denotes equal contribution. To appear in Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH 2023 |
| نوع الوثيقة: | Working Paper |
| DOI: | 10.21437/Interspeech.2023-1924 |
| الوصول الحر: | http://arxiv.org/abs/2305.16085Test |
| رقم الانضمام: | edsarx.2305.16085 |
| قاعدة البيانات: | arXiv |
| DOI: | 10.21437/Interspeech.2023-1924 |
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