The Roles of Selective Attention and Asymmetric Experience in Bilateral Speech Interference for Single-Sided Deafness Cochlear Implant and Vocoder Listeners

听力学 人工耳蜗植入 助听器 言语感知 遮罩(插图) 积极倾听 心理学 语音识别 医学 计算机科学 感知 沟通 艺术 视觉艺术 神经科学
作者
Joshua G. W. Bernstein,Matthew J. Goupell
出处
期刊:Ear and Hearing [Lippincott Williams & Wilkins]
卷期号:46 (6): 1490-1501
标识
DOI:10.1097/aud.0000000000001687
摘要

Objectives: For many (especially older) single-sided-deafness (SSD) cochlear-implant (CI) users (one normal hearing and one CI ear), masking speech in the acoustic ear can interfere with CI-ear speech recognition. This study examined two possible explanations for this “bilateral speech interference.” First, it might reflect a general (i.e., not specific to spatial hearing or CI use) age-related “selective-attention” deficit, with some listeners having difficulty attending to target speech while ignoring an interferer. Second, it could be specific to asymmetric-hearing experience, reflecting maladaptive plasticity with the better ear becoming favored over time. Design: Twenty-eight listeners with bilaterally normal or near-normal hearing (NH) through 4 kHz completed a series of speech-on-speech masking tasks. Vocoder simulations of SSD-CI listening (four- or eight-channel noise-vocoded speech in the right ear, unprocessed speech in the left) tested whether acutely simulated asymmetric hearing would produce interference comparable to that previously observed for 13 SSD-CI listeners. Both groups had a wide age range (NH: 20 to 84 years; SSD-CI: 36 to 74 years) and were therefore expected to exhibit a wide range of selective-attention ability. The primary set of conditions measured bilateral speech interference. Target coordinate-response-measure sentences mixed with a masker of similar fundamental frequency (F0) were presented to the right (vocoded) ear at target-to-masker ratios of 0, 4, 8, or 16 dB. Silence or a copy of the masker was presented to the left (unprocessed) ear. Bilateral speech interference—the performance decrease from adding the masker copy to the left ear—was compared with previous SSD-CI results. NH listeners also completed two additional sets of conditions. The first set measured the F0-difference benefit for unprocessed monaural speech-on-speech masking. This is a likely indicator of non-spatial selective-attention ability, based on previous findings that older adults benefit less than younger adults from target-masker F0 differences. The second set measured contralateral-unmasking benefit. Target and masking speech were presented to the unprocessed ear and the benefit from presenting a copy of the masking speech to the vocoded ear was measured. A linear-mixed model analysis examined relationships between NH bilateral speech interference and age, monaural speech-on-speech masking (to estimate non-spatial selective attention), and contralateral unmasking. An additional analysis compared NH-Vocoder to SSD-CI interference. Results: The strongest predictor of NH-vocoder interference was performance in the monaural different-F0 speech-on-speech masking condition ( p = 0.0024). Neither similar-F0 speech-on-speech masking performance, nor age, nor contralateral unmasking accounted for significant additional variance ( p = 0.11 to 0.69). Mean SSD-CI interference magnitude was comparable to the four-channel NH-vocoder condition ( p = 0.75) but larger than the eight-channel condition ( p < 0.001). Conclusions: The association between bilateral speech interference and monaural speech recognition with different-F0 interferers for NH listeners suggests that (possibly age-related) non-spatial selective-attention ability might also explain SSD-CI interference variability. Regardless of hearing status, some people might have difficulty attending to one sound while ignoring others, with asymmetrically distorted inputs exacerbating this problem. Comparable SSD-CI and NH-Vocoder interference challenges the idea that SSD-CI interference reflects long-term maladaptive changes from asymmetric hearing. Future work should explore selective-attention measures as predictors of SSD-CI performance in competing-talker environments.
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