TY - GEN
T1 - Handheld device based personal auditory training system to hearing loss
AU - Chen, Yeou Jiunn
AU - Chang, Chia Jui
AU - Wu, Jiunn Liang
AU - Lin, Yi Hui
AU - Yang, Hui Mei
PY - 2013
Y1 - 2013
N2 - The assistive hearing devices are the only aids to help subjects with hearing loss to use their residual hearing. However, the performance of those devices is closely dependent on auditory training. To develop handheld devices based personal auditory training system with perceptional discrimination analysis and automatic test item generation is very helpful for subjects with hearing loss. Besides, it would ease the burden of speech-language pathologists in developing a personal auditory training. In this study, the mel-frequency cepstrum coefficients and automatic speech recognition are applied to objectively estimate the phonemic confusions. For reducing computational complex, multidimensional scaling is then used to transfer the phonemic confusions into a Euclidean space. Thus, a suitable training material could be automatically generated by simple random process. Finally, the Android based mobile phones are selected as a platform for auditory training. It is convenient for subjects to use the auditory training system. The experimental results show that the average score of mean opinion score is 3.73, which means that the system is very useful.
AB - The assistive hearing devices are the only aids to help subjects with hearing loss to use their residual hearing. However, the performance of those devices is closely dependent on auditory training. To develop handheld devices based personal auditory training system with perceptional discrimination analysis and automatic test item generation is very helpful for subjects with hearing loss. Besides, it would ease the burden of speech-language pathologists in developing a personal auditory training. In this study, the mel-frequency cepstrum coefficients and automatic speech recognition are applied to objectively estimate the phonemic confusions. For reducing computational complex, multidimensional scaling is then used to transfer the phonemic confusions into a Euclidean space. Thus, a suitable training material could be automatically generated by simple random process. Finally, the Android based mobile phones are selected as a platform for auditory training. It is convenient for subjects to use the auditory training system. The experimental results show that the average score of mean opinion score is 3.73, which means that the system is very useful.
UR - http://www.scopus.com/inward/record.url?scp=84886703017&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84886703017&partnerID=8YFLogxK
U2 - 10.1109/CIRAT.2013.6613818
DO - 10.1109/CIRAT.2013.6613818
M3 - Conference contribution
AN - SCOPUS:84886703017
SN - 9781467359078
T3 - Proceedings of the 2013 IEEE Symposium on Computational Intelligence in Rehabilitation and Assistive Technologies, CIRAT 2013 - 2013 IEEE Symposium Series on Computational Intelligence, SSCI 2013
SP - 19
EP - 23
BT - Proceedings of the 2013 IEEE Symposium on Computational Intelligence in Rehabilitation and Assistive Technologies, CIRAT 2013 - 2013 IEEE Symposium Series on Computational Intelligence, SSCI 2013
T2 - 2013 IEEE Symposium on Computational Intelligence in Rehabilitation and Assistive Technologies, CIRAT 2013 - 2013 IEEE Symposium Series on Computational Intelligence, SSCI 2013
Y2 - 16 April 2013 through 19 April 2013
ER -