测试一种用于在环境噪声中对飞机进行声学检测的计算模型
Yonghee Oh1, Karl D Lerud2, Evelyn Hoglund3
1Department of Otolaryngology-Head and Neck Surgery and Communicative Disorders, University of Louisville, Louisville, Kentucky 40202, USA.
The Journal of the Acoustical Society of America
|December 18, 2023
概括
这项研究验证了一种计算模型,用于预测人类在各种环境中的声音检测. 该模型精确地匹配了听众在检测各种音景中的飞机声音方面的表现,显示了它对现实世界的应用的潜力.
科学领域:
- 声学 声学 在声学方面
- 精神声学是一种精神声学.
- 计算审计场景分析 场景分析
背景情况:
- 计算模型预测了受控声环境中人类听众的表现.
- 由于不同的条件,模型预测和现实世界的听众表现之间经常存在差异.
- 在复杂的声音环境中准确预测听觉检测对于飞机监控等应用至关重要.
研究的目的:
- 评估计算模型预测人类听众在检测各种现实世界音景中的飞机声音方面的表现的能力.
- 为了比较模型预测与实际的听众在相同的,精心控制的声学条件下的表现.
- 识别模型预测和行为数据之间的差异,并了解它们的原因.
主要方法:
- 一个计算模型被用来预测飞机声音 (目标信号) 在各种背景噪音 (掩饰) 中的检测性能.
- 使用了三种飞机类型和九个环境位置 (农村到城市) 的声音录音.
- 模型和人类听众都使用相同的声音刺激和适应性跟踪范式进行了测试,信号和面具水平经过了仔细校准. 模型预测是在访问行为结果之前进行的.
主要成果:
- 计算模型的预测通常与人类听众的表现有很强的一致性.
- 观察到一些微小的例外情况,表明模型预测偏离了观察到的听众行为.
- 该研究成功匹配了模型和听众测试条件,包括信号/面具校准和自适应程序.
结论:
- 经过测试的计算模型在预测人类在复杂的声音环境中对飞机的听觉检测方面表现出很高的准确性.
- 这种密切的协议表明该模型对于在生态相关的声学环境中评估听力表现的实用性.
- 对观察到的差异的进一步调查可以改进听觉模型,以提高预测能力.
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