基于形式的元音分类,用于跨语言的电话识别
Marija Stepanović1, Christian Hardmeier1, Odette Scharenborg2
1Department of Computer Science, IT University of Copenhagen, 2300 Copenhagen, Denmark.
The Journal of the Acoustical Society of America
|March 27, 2025
概括
这项研究通过使用形式频率来对元音进行分类来改善多语言电话识别,增强对资源不足的语言的跨语言语音技术. 这种新方法可以提高共享元音的识别能力,但对于未见的语言,需要仔细实施.
科学领域:
- 语音技术 语言技术
- 语音学和语音学 语音学和语音学
- 计算语言学 计算语言学
背景情况:
- 多语言电话识别模型利用语言独立的发音模式来实现跨语言的语音应用.
- 当前的模型通常依赖于声学表示,这可能不会准确地反映声学语音实现,导致性能降低.
- 改善资源不足的语言的语音技术需要强大的跨语言识别能力.
研究的目的:
- 引入基于形式的元音分类,以加强跨语言的元音识别.
- 为了更大的跨语言一致性,在多语言语音语料库中重新组织元音类别.
- 调查基于形式的分类对丹麦语,挪威语和瑞典语的电话识别的影响.
主要方法:
- 利用形式频率来确定元音的语音质量.
- 将三种分类技术应用于三语言,多方言的语音库 (丹麦语,挪威语,瑞典语).
- 进行了跨语言电话识别实验,以评估拟议的分类方法.
主要成果:
- 将元音类别合并为共享的基于形式的集合,改善了常见元音的跨语言识别.
- 这种方法干扰了所有培训语言中不存在的元音的识别.
- 对区域方言的跨语言评价得出了不确定的结果,表明需要进一步研究.
结论:
- 基于形式的元音分类为改善跨语言语音识别提供了一个有希望的途径,特别是对于共享的元音声音.
- 虽然对共享元音有好处,但该方法对特定语言元音的有效性需要进一步研究.
- 在个体母音识别方面的改进有可能提高未见语言的整体电话识别.
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