Vermiglio Andrew J, Herring Caroline C, Heeke Paige, Post Courtney E, Fang Xiangming
Department of Communication Sciences and Disorders, East Carolina University, Greenville, NC.
Department of Biostatistics, East Carolina University, Greenville, NC.
J Am Acad Audiol. 2019 Jan;30(1):54-65. doi: 10.3766/jaaa.17083. Epub 2018 Jan 2.
Speech recognition in noise (SRN) evaluations reveal information about listening ability that is unavailable from pure-tone thresholds. Unfortunately, SRN evaluations are not commonly used in the clinic. A lack of standardization may be an explanation for the lack of widespread acceptance of SRN testing. Arguments have been made for the utilization of steady-state speech-shaped noise vs. multi-talker babble. Previous investigations into the effect of masker type have used a monaural presentation of the stimuli. However, results of monaural SRN tests cannot be generalized to binaural listening conditions.
The purpose of this study was to investigate the effect of masker type on SRN thresholds under binaural listening conditions.
The Hearing in Noise Test (HINT) protocol was selected in order to measure SRN thresholds in steady-state speech-shaped noise (HINT noise) and four-talker babble with and without the spatial separation of the target speech and masker stimuli.
Fifty native speakers of English with normal pure-tone thresholds (≤ 25 dB HL, 250-4000 Hz) participated in the study. The mean age was 20.5 years (SD 1.01).
All participants were tested using the standard protocol for the HINT in a simulated soundfield environment under TDH-50P headphones. Thresholds were measured for the Noise Front, Noise Left, and Noise Right listening conditions with HINT noise and four-talker babble. The HINT composite score was determined for each noise condition. The spatial advantage was calculated from the HINT thresholds. Pure-tone threshold data were collected using the modified Hughson-Westlake procedure. Statistical analyses include descriptive statistics, effect size, correlations, and repeated measures ANOVA followed by matched-pairs t-tests.
Repeated measures ANOVA was conducted to investigate the effects of masker type and noise location on HINT thresholds. Both main effects and their interaction were statistically significant (p < 0.01). No significant differences were found between masker conditions for the Noise Front thresholds. However, for the Noise Side conditions the four-talker babble thresholds were significantly better than the HINT noise thresholds. Overall, greater spatial advantage was found for the four-talker babble as opposed to the HINT noise conditions (p < 0.01). Pearson correlation analysis revealed no significant relationships between four-talker babble and HINT noise speech recognition performances for the Noise Front, Noise Right conditions, and the spatial advantage measures. Significant relationships (p < 0.05) were found between masking noise performances for the Noise Left condition and the Noise Composite scores.
One cannot assume that a patient who performs within normal limits on a speech in four-talker babble test will also perform within normal limits on a speech in steady-state speech-shaped noise test, and vice-versa. Additionally, performances for the Noise Front condition cannot be used to predict performances for the Noise Side conditions. The utilization of both HINT noise and four-talker babble maskers, with and without the spatial separation of the stimuli, may be useful when determining the range of speech recognition in noise abilities found in everyday listening conditions.
噪声中的言语识别(SRN)评估揭示了纯音阈值无法提供的听力信息。不幸的是,SRN评估在临床上并不常用。缺乏标准化可能是SRN测试未被广泛接受的一个原因。对于使用稳态言语频谱噪声与多说话者嘈杂声存在争议。之前关于掩蔽类型影响的研究使用了单耳呈现刺激。然而,单耳SRN测试的结果不能推广到双耳聆听条件。
本研究的目的是调查双耳聆听条件下掩蔽类型对SRN阈值的影响。
选择了噪声中的听力测试(HINT)方案,以测量稳态言语频谱噪声(HINT噪声)和四说话者嘈杂声条件下的SRN阈值,目标言语和掩蔽刺激有无空间分离。
50名母语为英语、纯音阈值正常(250 - 4000Hz时≤25dB HL)的参与者参与了研究。平均年龄为20.5岁(标准差1.01)。
所有参与者在模拟声场环境中使用TDH - 50P耳机按照HINT的标准方案进行测试。测量了HINT噪声和四说话者嘈杂声条件下前向噪声、左耳噪声和右耳噪声聆听条件的阈值。为每个噪声条件确定了HINT综合得分。根据HINT阈值计算空间优势。使用改良的休森 - 韦斯特莱克程序收集纯音阈值数据。统计分析包括描述性统计、效应大小、相关性以及重复测量方差分析,随后进行配对t检验。
进行重复测量方差分析以研究掩蔽类型和噪声位置对HINT阈值的影响。主效应及其交互作用均具有统计学意义(p < 0.01)。前向噪声阈值的掩蔽条件之间未发现显著差异。然而,对于侧向噪声条件,四说话者嘈杂声阈值明显优于HINT噪声阈值。总体而言,与HINT噪声条件相比,四说话者嘈杂声的空间优势更大(p < 0.01)。Pearson相关分析显示,对于前向噪声、右耳噪声条件以及空间优势测量,四说话者嘈杂声与HINT噪声言语识别性能之间无显著关系。在左耳噪声条件的掩蔽噪声性能与噪声综合得分之间发现了显著关系(p < 0.05)。
不能假设在四说话者嘈杂声测试中表现正常的患者在稳态言语频谱噪声测试中也会表现正常,反之亦然。此外,前向噪声条件下的表现不能用于预测侧向噪声条件下的表现。在确定日常聆听条件下的噪声中言语识别能力范围时,使用HINT噪声和四说话者嘈杂声掩蔽器,无论刺激有无空间分离,可能会有所帮助。