Handheld device based personal auditory training system to hearing loss

Yeou Jiunn Chen, Chia Jui Chang, Jiunn Liang Wu, Yi Hui Lin, Hui Mei Yang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish
Title of host publicationProceedings of the 2013 IEEE Symposium on Computational Intelligence in Rehabilitation and Assistive Technologies, CIRAT 2013 - 2013 IEEE Symposium Series on Computational Intelligence, SSCI 2013
Pages19-23
Number of pages5
DOIs
Publication statusPublished - 2013
Event2013 IEEE Symposium on Computational Intelligence in Rehabilitation and Assistive Technologies, CIRAT 2013 - 2013 IEEE Symposium Series on Computational Intelligence, SSCI 2013 - Singapore, Singapore
Duration: 2013 Apr 162013 Apr 19

Publication series

NameProceedings of the 2013 IEEE Symposium on Computational Intelligence in Rehabilitation and Assistive Technologies, CIRAT 2013 - 2013 IEEE Symposium Series on Computational Intelligence, SSCI 2013

Other

Other2013 IEEE Symposium on Computational Intelligence in Rehabilitation and Assistive Technologies, CIRAT 2013 - 2013 IEEE Symposium Series on Computational Intelligence, SSCI 2013
Country/TerritorySingapore
CitySingapore
Period13-04-1613-04-19

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence

Fingerprint

Dive into the research topics of 'Handheld device based personal auditory training system to hearing loss'. Together they form a unique fingerprint.

Cite this