Optimizing Soft Speech Recognition in Children With Hearing Loss
Optimizing Soft Speech Recognition in Children With Hearing Loss
Overhearing is important for vocabulary learning and speech and language development in young children. However, contemporary hearing aids are generally unable to provide adequate access to low-level auditory inputs from multiple talkers at a distance to capitalize on overhearing. A recent investigation by Jace Wolfe and colleagues showed that, even when aided, children with hearing loss had significantly poorer speech recognition at 40, 50 and 60 dBA compared to children with normal hearing. Furthermore, they showed that increasing hearing aid gain for very low-level inputs produced a statistically significant improvement in syllable-final plural recognition and a non-significant trend toward better monosyllabic word recognition at very low presentation levels. Additional research is needed to document low-level speech recognition ability of children with hearing loss as well as the potential benefit or detriment of increasing hearing aid gain for low-level inputs. A novel hearing aid technology known as Soft Speech Enhancer has been shown improve low-level speech perception in adults with hearing loss; however, the effect of Speech Enhancer on speech recognition in children is not yet known and will be evaluated.
The primary objective of this study is to evaluate whether soft speech recognition in quiet is significantly improved with Speech Enhancer (SE) "on" at the default setting (moderate) compared to Speech Enhancer "off" in children with moderate (N3) to severe (N5) hearing loss. There are several secondary objectives: 1) To evaluate the main effects of age and Speech Enhancer strength, and potential interaction on speech recognition and comfort in children with moderate to severe hearing loss. 2) To demonstrate that hearing aids compensate for hearing loss in children.
This confirmatory clinical investigation will be executed at Hearts for Hearing. It is a single-group, single blind intervention study with each participant serving as his or her own control. However, in certain conditions participant blinding is not feasible (i.e., aided versus unaided performance). The outcome measures being assessed include: speech recognition in quiet with Consonant-Nucleus-Consonant (CNC) words, and comfort ratings using a Multiple Stimuli with Hidden Reference and Anchor (MUSHRA) procedure and looped sentences overlaid with low-level transient noise.
Four different hearing aid conditions will be assessed in this clinical investigation: unaided (no amplification), aided with SE "off", aided with SE "moderate", aided with SE "strong". For the unaided or no treatment condition no hearing aids will be worn. For aided conditions, experienced hearing aid users will be fit binaurally with investigational devices matching their personal device form factor connected to their personal acoustic coupling (e.g., earmold). Using the Audioscan Verifit 2, probe microphone measurements will be conducted to match DSL 5.0 pediatric quiet and noise targets. Three distinct programs will be created, each with a different SE strength.
Hearing aid program order (speech enhancer settings) will be randomized for all testing conditions except for CNC at 50 dBA Quiet with SE Off; that condition is administered first to establish candidacy for further testing. A randomized list of SE settings was generated for all participants for the remaining conditions.
Testing will be completed in a double-walled sound booth with calibrated equipment. Recorded stimuli will be presented through loudspeakers (Sony CFD-ZW755) from clinical audiometers (Grayson Stadler Standard) or Dell computers using the Arizona State University Speech Recognition Program, Windows Media Player and Adobe Audition. Speech stimuli will be presented from a loudspeaker located at 0 degrees azimuth (directly in front).
Speech recognition results will be compared to determine the effect of amplification on accuracy scores as well as the influence of speech enhancer on behaviorally measured benefit and subjectively-derived listening preference.
Inclusion Criteria:
Exclusion Criteria: