Publisher
Springer Science and Business Media LLC
Subject
Computer Vision and Pattern Recognition,Linguistics and Language,Human-Computer Interaction,Language and Linguistics,Software
Reference36 articles.
1. Arunachalam, R. (2019). A strategic approach to recognize the speech of the children with hearing impairment: Different sets of features and models. International Journal on Multimedia Tools and Applications,78(15), 20787–20808.
2. Brookes, C. (2000). Speech-to-text systems for deaf, deafened and hard-of-hearing people. In IEE seminar on speech and language processing for disabled and elderly people. Ref. No. 2000/025.
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=846943
.
3. Chee, L. S., Ai, O. C., & Hariharan, M. (2009). MFCC based recognition of repetitions and prolongations in stuttered speech using k-NN and LDA. In IEEE student conference on research and development (SCOReD) (Vol. 1, pp. 146–149).
4. Deller, J. R., Hsu, D., & Ferrier, L. J. (1991). On the use of hidden Markov modeling for recognition of dysarthric speech. International Journal on Computer Methods and Programs in Biomedicine,35(2), 125–139.
5. Girgin, M. C., & Ozsoy, B. (2008). The relationship between formant frequency and duration characteristics of vowels and speech intelligibility in Turkish hearing impaired children. World Applied Sciences Journal,4(6), 891–899.
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