与儿童自动语音识别不准确性有关的人口和声学因素 非洲裔美国人 英语说者
Brittany N Fletcher1,2, Wei-Wen Hsu3, Vesna D Novak4
1Department of Communication Sciences and Disorders, University of Cincinnati.
Perspectives of the ASHA special interest groups
|October 6, 2025
概括
声学测量没有预测非洲裔美国人英语 (AAE) 儿童的谷歌语音转换不准确性. 然而,年龄和方言密度影响了无声音的准确性,突出了年轻AAE说话者语音识别的复杂性.
科学领域:
- 语言学和言语科学 语言学和言语科学
- 计算机科学和人工智能 人工智能
- 儿童发展 儿童发展
背景情况:
- 语音识别技术面临着不同方言的挑战,特别是非洲裔美国人英语 (AAE).
- 了解儿童言语中的声学变化对于改进语音到文本 (STT) 系统至关重要.
- 之前的研究还没有广泛探索年轻AAE扬声器中的声学特征和STT精度之间的关系.
研究的目的:
- 调查声学语音测量与谷歌语音对文本 (STT) 不准确性之间的联系.
- 分析4-9岁的儿童讲非洲裔美国人英语 (AAE) 的语音STT表现.
- 检查方言密度和年龄对AAE语音STT准确性的影响.
主要方法:
- 收集了11个孩子说AAE的录音,刺激的目标是最终的音变化.
- 使用语言变异诊断评估语言选器测量方言密度.
- 提取了声学测量 (元音持续时间,基本频率,F1) 并使用逻辑回归分析了STT转录的准确性.
主要成果:
- 在发声和无声语音间的不准确率上没有发现显著的差异.
- 声学测量没有预测AAE语言儿童的语音到文本的不准确性.
- 儿童的年龄和方言密度与无声音制作的准确性有显著的相关性.
结论:
- 单独的声学测量不足以预测年轻AAE扬声器的STT不准确性.
- 年龄和方言差异是影响性传播疾病表现的重要因素.
- 需要进一步研究这些复杂性,以增强语音识别技术和AAE说话的儿童的临床应用.
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