The Benefit of Remote and On-Ear Directional Microphone Technology Persists in the Presence of Visual Information
Background Both the Roger remote microphone and on-ear, adaptive beamforming technologies (e.g., Phonak UltraZoom) have been shown to improve speech understanding in noise for cochlear implant (CI) listeners when tested in audio-only (A-only) test environments.
Purpose Our aim was to determine if adult and pediatric CI recipients benefited from these technologies in a more common environment—one in which both audio and visual cues were available and when overall performance was high.
Study Sample Ten adult CI listeners (Experiment 1) and seven pediatric CI listeners (Experiment 2) were tested.
Design Adults were tested in quiet and in two levels of noise (level 1 and level 2) in A-only and audio-visual (AV) environments. There were four device conditions: (1) an ear canal-level, omnidirectional microphone (T-mic) in quiet, (2) the T-mic in noise, (3) an adaptive directional mic (UltraZoom) in noise, and (4) a wireless, remote mic (Roger Pen) in noise. Pediatric listeners were tested in quiet and in level 1 noise in A-only and AV environments. The test conditions were: (1) a behind-the-ear level omnidirectional mic (processor mic) in quiet, (2) the processor mic in noise, (3) the T-mic in noise, and (4) the Roger Pen in noise.
Data Collection and Analyses In each test condition, sentence understanding was assessed (percent correct) and ease of listening ratings were obtained. The sentence understanding data were entered into repeated-measures analyses of variance.
Results For both adult and pediatric listeners in the AV test conditions in level 1 noise, performance with the Roger Pen was significantly higher than with the T-mic. For both populations, performance in level 1 noise with the Roger Pen approached the level of baseline performance in quiet. Ease of listening in noise was rated higher in the Roger Pen conditions than in the T-mic or processor mic conditions in both A-only and AV test conditions.
Conclusion The Roger remote mic and on-ear directional mic technologies benefit both speech understanding and ease of listening in a realistic laboratory test environment and are likely do the same in real-world listening environments.
Received: 27 March 2020
Accepted: 19 July 2020
09 December 2020 (online)
© 2020. American Academy of Audiology. This article is published by Thieme.
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- 1 Dorman MF, Gifford RH. Speech understanding in complex listening environments by listeners fit with cochlear implants. J Speech Lang Hear Res 2017; 60 (10) 3019-3026
- 2 De Ceulaer G, Bestel J, Mülder HE, Goldbeck F, de Varebeke SP, Govaerts PJ. Speech understanding in noise with the Roger Pen, Naida CI Q70 processor, and integrated Roger 17 receiver in a multi-talker network. Eur Arch Otorhinolaryngol 2016; 273 (05) 1107-1114
- 3 Wesarg T, Arndt S, Wiebe K. et al. Speech recognition in noise in single-sided deaf cochlear implant recipients using digital remote wireless microphone technology. J Am Acad Audiol 2019; 30 (07) 607-618
- 4 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
- 5 Wolfe J, Morais M, Schafer E, Agrawal S, Koch D. Evaluation of speech recognition of cochlear implant recipients using adaptive, digital remote microphone technology and a speech enhancement sound processing algorithm. J Am Acad Audiol 2015; 26 (05) 502-508
- 6 Zanin J, Rance G. Functional hearing in the classroom: assistive listening devices for students with hearing impairment in a mainstream school setting. Int J Audiol 2016; 55 (12) 723-729
- 7 Geißler G, Arweiler I, Hehrmann P, Lenarz T, Hamacher V, Büchner A. Speech reception threshold benefits in cochlear implant users with an adaptive beamformer in real life situations. Cochlear Implants Int 2015; 16 (02) 69-76
- 8 Dorman MF, Natale S, Spahr A, Castioni E. Speech understanding in noise by cochlear implant patients using a monaural adaptive beamformer. J Speech Lang Hear Res 2017; 60 (08) 2360-2363
- 9 Mauger SJ, Warren CD, Knight MR, Goorevich M, Nel E. Clinical evaluation of the Nucleus 6 cochlear implant system: performance improvements with SmartSound iQ. Int J Audiol 2014; 53 (08) 564-576
- 10 Mosnier I, Mathias N, Flament J. et al. Benefit of the UltraZoom beamforming technology in noise in cochlear implant users. Eur Arch Otorhinolaryngol 2017; 274 (09) 3335-3342
- 11 Buechner A, Dyballa KH, Hehrmann P, Fredelake S, Lenarz T. Advanced beamformers for cochlear implant users: acute measurement of speech perception in challenging listening conditions. PLoS One 2014; 9 (04) e95542
- 12 Dorman MF, Cook Natale S, Agrawal S. The value of unilateral CIs, CI–CROS and bilateral CIs, with and without beamformer microphones, for speech understanding in a simulation of a restaurant environment. Audiol Neurotol 2018; 23 (05) 270-276
- 13 Ernst A, Anton K, Brendel M, Battmer RD. Benefit of directional microphones for unilateral, bilateral and bimodal cochlear implant users. Cochlear Implants Int 2019; 20 (03) 147-157
- 14 Mauger SJ, Jones M, Nel E, Del Dot J. Clinical outcomes with the Kanso™ off-the-ear cochlear implant sound processor. Int J Audiol 2017; 56 (04) 267-276
- 15 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
- 16 Dorman MF, Liss J, Wang S, Berisha V, Ludwig C, Natale SC. Experiments on auditory-visual perception of sentences by unilateral, bimodal and bilateral cochlear implant patients. J Speech Lang Hear Res 2016; 59 (06) 1505-1519
- 17 Wu Y-H, Stangl E, Chipara O, Hasan SS, Welhaven A, Oleson J. Characteristics of real-world signal-to-noise ratios and speech listening situations of older adults with mild-to-moderate hearing loss. Ear Hear 2018; 39 (02) 293-304
- 18 Altieri NA, Pisoni DB, Townsend JT. Some normative data on lip-reading skills (L). J Acoust Soc Am 2011; 130 (01) 1-4
- 19 Rosenblum LD. Speech perception as a multimodal phenomenon. Curr Dir Psychol Sci 2008; 17 (06) 405-409
- 20 Summerfield Q. Some preliminaries to a comprehensive account of audio-visual speech perception. In: Dodd B, Campbell R. eds. Hearing by Eye: The Psychology of Lip-Reading. London, UK: Lawrence Erlbaum Associates, Inc; 1987: 53-83
- 21 Sumby WH, Pollack I. Visual contribution to speech intelligibility in noise. J Acoust Soc Am 1954; 26 (02) 212-215
- 22 Desai S, Stickney G, Zeng F-G. Auditory-visual speech perception in normal-hearing and cochlear-implant listeners. J Acoust Soc Am 2008; 123 (01) 428-440
- 23 Gray RF, Quinn SJ, Court I, Vanat Z, Baguley DM. Patient performance over eighteen months with the Ineraid intracochlear implant. Ann Otol Rhinol Laryngol Suppl 1995; 166 (166) 275-277
- 24 Kaiser AR, Kirk KI, Lachs L, Pisoni DB. Talker and lexical effects on audiovisual word recognition by adults with cochlear implants. J Speech Lang Hear Res 2003; 46 (02) 390-404
- 25 Wu Y-H, Bentler RA. Impact of visual cues on directional benefit and preference: part I--laboratory tests. Ear Hear 2010; 31 (01) 22-34
- 26 Kolberg ER, Sheffield SW, Davis TJ, Sunderhaus LW, Gifford RH. Cochlear implant microphone location affects speech recognition in diffuse noise. J Am Acad Audiol 2015; 26 (01) 51-58 , quiz 109–110
- 27 Gifford RH, Revit LJ. Speech perception for adult cochlear implant recipients in a realistic background noise: effectiveness of preprocessing strategies and external options for improving speech recognition in noise. J Am Acad Audiol 2010; 21 (07) 441-451 , quiz 487–488
- 28 Compton-Conley CL, Neuman AC, Killion MC, Levitt H. Performance of directional microphones for hearing aids: real-world versus simulation. J Am Acad Audiol 2004; 15 (06) 440-455
- 29 MacLeod A, Summerfield Q. Quantifying the contribution of vision to speech perception in noise. Br J Audiol 1987; 21 (02) 131-141
- 30 MacLeod A, Summerfield Q. A procedure for measuring auditory and audio-visual speech-reception thresholds for sentences in noise: rationale, evaluation, and recommendations for use. Br J Audiol 1990; 24 (01) 29-43
- 31 Smeds K, Wolters F, Rung M. Estimation of signal-to-noise ratios in realistic sound scenarios. J Am Acad Audiol 2015; 26 (02) 183-196
- 32 Spahr AJ, Dorman MF, Litvak LM. et al. Development and validation of the AzBio sentence lists. Ear Hear 2012; 33 (01) 112-117