| Journal of Computer Science | |
| Arabic Speech Pathology Therapy Computer Aided System | Science Publications | |
| M. Guerti1  Z. A. Benselama1  M. A. Bencherif1  | |
| 关键词: Word segmentation; phoneme recognition; HMM/GMM; ANN; | |
| DOI : 10.3844/jcssp.2007.685.692 | |
| 学科分类:计算机科学(综合) | |
| 来源: Science Publications | |
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【 摘 要 】
This article concerns a computer aided pathological speech therapy program, based on speech models such as the hidden Markov model and artificial intelligence networks, in order to help persons, suffering from language pathologies, follow a correction learning process, with different interactive feedbacks, aiming to evaluate the degree ofevolution of the illness or the therapy.We dealt with the Arabic occlusive sigmatism as a prime approach, which is the inability to pronounce the[s] or [∫]. Results obtained are satisfying and the therapy program is prepared, for autonomous use by patients, for deep analysis and verifications.
【 授权许可】
Unknown
【 预 览 】
| Files | Size | Format | View |
|---|---|---|---|
| RO201911300627859ZK.pdf | 177KB |
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