Behavioral Validation of the Smartphone for Remote Microphone TechnologyFunding This work was supported by the National Institutes of Health (NIH)-National Institute on Deafness and Other Communication Disorders (NIDCD) under award number R01DC015430-04. The content solely is the responsibility of the authors and does not necessarily represent the official views of the NIH.
As part of a National Institutes of Health–National Institute on Deafness and Other communication Disorders (NIH-NIDCD)–supported project to develop open-source research and smartphone-based apps for enhancing speech recognition in noise, an app called Smartphone Hearing Aid Research Project Version 2 (SHARP-2) was tested with persons with normal and impaired hearing when using three sets of hearing aids (HAs) with wireless connectivity to an iPhone. Participants were asked to type sentences presented from a speaker in front of them while hearing noise from behind in two conditions, HA alone and HA + SHARP-2 app running on the iPhone. The signal was presented at a constant level of 65 dBA and the signal-to-noise ratio varied from −10 to +10, so that the task was difficult when listening through the bilateral HAs alone. This was important to allow for improvement to be measured when the HAs were connected to the SHARP-2 app on the smartphone. Benefit was achieved for most listeners with all three manufacturer HAs with the greatest improvements recorded for persons with normal (33.56%) and impaired hearing (22.21%) when using the SHARP-2 app with one manufacturer's made-for-all phones HAs. These results support the continued development of smartphone-based apps as an economical solution for enhancing speech recognition in noise for both persons with normal and impaired hearing.
16. Dezember 2020 (online)
© 2020. Thieme. All rights reserved.
Thieme Medical Publishers, Inc.
333 Seventh Avenue, 18th Floor, New York, NY 10001, USA
- 1 Thibodeau LM. Benefits in speech recognition in noise with remote wireless microphones in group settings. J Am Acad Audiol 2020; 31 (06) 404-411
- 2 Johnstone PM, Mills KET, Humphrey E. et al. Using microphone technology to improve speech perception in noise in children with cochlear implants. J Am Acad Audiol 2018; 29 (09) 814-825
- 3 Schafer EC, Wright S, Anderson C. et al. Assistive technology evaluations: Remote-microphone technology for children with autism spectrum disorder. J Commun Disord 2016; 64: 1-17
- 4 Rodemerk KS, Galster JA. The benefit of remote microphones using four wireless protocols. J Am Acad Audiol 2015; 26 (08) 724-731
- 5 Thibodeau L. Comparison of speech recognition with adaptive digital and FM remote microphone hearing assistance technology by listeners who use hearing aids. Am J Audiol 2014; 23 (02) 201-210
- 6 Wolfe J, Morais M, Schafer E. et al. Evaluation of speech recognition of cochlear implant recipients using a personal digital adaptive radio frequency system. J Am Acad Audiol 2013; 24 (08) 714-724
- 7 Thibodeau L. Benefits of adaptive FM systems on speech recognition in noise for listeners who use hearing aids. Am J Audiol 2010; 19 (01) 36-45
- 8 Wolfe J, Schafer EC. Optimizing the benefit of sound processors coupled to personal FM systems. J Am Acad Audiol 2008; 19 (08) 585-594
- 9 Schafer EC, Thibodeau LM. Speech Recognition in noise in children with cochlear implants while listening in bilateral, bimodal, and FM-system arrangements. Am J Audiol 2006; 15 (02) 114-126
- 10 Schafer EC, Thibodeau LM. Speech recognition abilities of adults using cochlear implants with FM systems. J Am Acad Audiol 2004; 15 (10) 678-691
- 11 Harkins J, Tucker P. An internet survey of individuals with hearing loss regarding assistive listening devices. Trends Amplif 2007; 11 (02) 91-100
- 12 Definition of smartphone. Accessed May 29, 2020 at: https://www.merriam-webster.com/dictionary/smartphone
- 13 Pew Research Center. Mobile Fact Sheet. Accessed May 29, 2020 at: https://www.pewresearch.org/internet/fact-sheet/mobile/
- 14 Anderson M, Perrin A. Tech Adoption Climbs Among Older Adults. Accessed May 29, 2020 at: https://www.pewresearch.org/internet/2017/05/17/tech-adoption-climbs-among-older-adults/
- 15 Patel K, Panahi I. Compression fitting on hearing aids and smartphone implementation. 42nd Annual International Conference of the IEEE EMBC. Montreal, Canada; July 20–24, 2020
- 16 Bhat G, Shankar N, Reddy C, Panahi I. A real-time convolutional neural network based speech enhancement for hearing impaired listeners using smartphone. IEEE Access 2019; 7: 78421-78433
- 17 Lin YC, Lai YH, Chang HW. et al. SmartHear: a smartphone-based remote microphone hearing assistive system using wireless technologies. IEEE Syst J 2008; 12: 20-29
- 18 Lopez EA, Costa OA, Ferrari DV. Development and technical validation of the mobile based assistive listening system: a smartphone-based remote microphone. Am J Audiol 2016; 25 (3S): 288-294
- 19 Jacoti Listen App Datasheet. Accessed May 29, 2020 at: https://www.jacoti.com/datasheets/ds_jacoti_listenapp.pdf
- 20 Jacoti Lola Datasheet. Accessed May 29, 2020 at: https://www.jacoti.com/datasheets/ds_jacoti_lola.pdf
- 21 Medwetsky L, Kelly K, Bakke M. Earphone models for iPhones: surprising results when used with a hearing app. Hear Rev 2020; 27: 22-25 . Accessed May 29, 2020 at: https://www.hearingreview.com/hearing-products/hearing-aids/apps/earphone-models-for-iphones-surprising-results-when-used-with-a-hearing-app
- 22 Keidser G, Dillon H, Flax M, Ching T, Brewer S. The NAL-NL2 prescription procedure. Audiology Res 2011; 1 (01) e24
- 23 Nilsson M, Soli SD, Sullivan JA. Development of the Hearing in Noise Test for the measurement of speech reception thresholds in quiet and in noise. J Acoust Soc Am 1994; 95 (02) 1085-1099
- 24 Shankar N, Bhat G, Panahi I. Real-time dual-channel speech enhancement by VAD assisted MVDR beam former and SGJMAP for hearing aid applications using smartphone. 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Montreal, Canada: 2020
- 25 Bhat G, Shankar N, Panahi I. Design and integration of alert signal detector and separator for hearing aid applications. IEEE Access 2020; 8: 106296-106309
- 26 Küçük A, Ganguly Y, Hao Y, Panahi I. Real-time convolutional neural network-based speech source localization on smartphone. IEEE Access 2019; 7: 169969-169978