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模拟教室声学条件对儿童言语识别和学习影响的实验研究。

Experimental investigation of the effects of the acoustical conditions in a simulated classroom on speech recognition and learning in children.

机构信息

Center for Hearing Research, Boys Town National Research Hospital, Omaha, Nebraska 68131, USA.

出版信息

J Acoust Soc Am. 2012 Jan;131(1):232-46. doi: 10.1121/1.3662059.

Abstract

The potential effects of acoustical environment on speech understanding are especially important as children enter school where students' ability to hear and understand complex verbal information is critical to learning. However, this ability is compromised because of widely varied and unfavorable classroom acoustics. The extent to which unfavorable classroom acoustics affect children's performance on longer learning tasks is largely unknown as most research has focused on testing children using words, syllables, or sentences as stimuli. In the current study, a simulated classroom environment was used to measure comprehension performance of two classroom learning activities: a discussion and lecture. Comprehension performance was measured for groups of elementary-aged students in one of four environments with varied reverberation times and background noise levels. The reverberation time was either 0.6 or 1.5 s, and the signal-to-noise level was either +10 or +7 dB. Performance is compared to adult subjects as well as to sentence-recognition in the same condition. Significant differences were seen in comprehension scores as a function of age and condition; both increasing background noise and reverberation degraded performance in comprehension tasks compared to minimal differences in measures of sentence-recognition.

摘要

在儿童入学时,声学环境对言语理解的潜在影响尤其重要,因为学生在学校里必须具备听力和理解复杂语言信息的能力,这对学习至关重要。然而,由于教室声学环境差异很大且不利于学习,学生的这种能力受到了影响。不利的教室声学环境在多大程度上影响儿童在较长的学习任务中的表现,目前还不得而知,因为大多数研究都集中在使用单词、音节或句子作为刺激来测试儿童。在本研究中,使用模拟教室环境来测量两组课堂学习活动的理解表现:讨论和讲座。在四种具有不同混响时间和背景噪声水平的环境中,对年龄不同的小学生群体进行了理解表现的测量。混响时间分别为 0.6 秒或 1.5 秒,信号噪声比分别为+10 分贝或+7 分贝。将表现与成人受试者以及在相同条件下的句子识别进行了比较。理解分数随着年龄和条件的变化而有显著差异;与句子识别的差异相比,在理解任务中,背景噪声和混响的增加都降低了理解表现。

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