通过基于Landmark的语音分析来跟踪与年龄相关的声音和语音产生的变化
Keiko Ishikawa1, Supraja Anand2
1Department of Communication Sciences and Disorders, University of Kentucky, 900 South Limestone, Lexington, Kentucky 40536-0200, USA.
The Journal of the Acoustical Society of America
|August 20, 2024
概括
基于基准的语音分析 (LMBAS) 揭示了与年龄相关的语音产生的变化. 虽然该算法对球和突破地标有效,但该算法对球和突破地标有效.
科学领域:
- 语言学的语言学.
- 声学 声学 在声学方面
- 老年学是指老年学的学科.
背景情况:
- 声音和语音的产生自然会随着年龄的增长而发生变化,这可能会影响沟通.
- 了解这些与年龄相关的语言变化对于各种应用,包括辅助技术和临床诊断至关重要.
研究的目的:
- 调查基于Landmark的语音分析 (LMBAS) 在表征成年演讲者的与年龄相关的变化方面的有效性.
- 分析来自不同年龄组的语音样本中的声学标志 (总体,爆发,音节).
主要方法:
- 利用佛罗里达大学老龄化语音数据库,包括150名美国英语发言人的录音 (年轻人,中年人,老年人).
- 使用SpeechMark®,MATLAB Toolbox提取了声学里程碑,专注于声,爆声和音节的特征.
- 在安静条件下分析了来自噪音语音感知测试的语音样本.
主要成果:
- 观察到与年龄相关的显著影响,包括球和突破标志.
- 性对爆发和学力基准有显著影响.
- 随着年龄的增长,学力里程碑的意想不到的增加被注意到.
结论:
- LMBAS显示了检测与年龄相关的语言变化的潜力,特别是对球和爆发的地标.
- 关于语法学标志的意想不到的发现表明,需要进一步完善LMBAS方法.
- 未来的研究应该专注于优化LMBAS,以准确地捕捉与年龄相关的语音修改的所有方面.
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