Collaborative Research: Prosodic Categories of American English in Form and Function

合作研究：美式英语的韵律类别的形式和功能

• 批准号: 0643054
• 负责人: Stefanie Shattuck-Hufnagel
• 金额: --
• 依托单位: Massachusetts Institute of Technology
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2007
• 资助国家: 美国
• 起止时间: 2007-04-15 至 2009-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0643054&HistoricalAwards=false
• 关键词: Collaborative; Research; Prosodic; Categories; American

Anyone with even passing experience of synthesized speech, text-to-speech, or speech recognition technologies is acutely aware of just how much we still don't understand about rhythm and intonation in human speech. Intonation is extremely important: Changes to an intonation contour -- the characteristic rises and falls of the voice's pitch during an utterance -- can change the meaning conveyed, often dramatically. (Compare "He's reliable." vs. "He's reliable?") Getting intonation wrong, even if everything else is right, makes speech sound at best non-native, at worst even non-human. Fixing this problem is a serious challenge, because intonational distinctions are slippery. Most native speakers cannot say with confidence whether a given utterance does or does not convey "incredulity", or "resigned acceptance", in the same way that they can usually tell whether a given sequence of sounds does or does not mean "cat". The problem of what intonation means and what exactly carries that meaning is reflected in experimental studies as well; researchers frequently disagree about the interpretation of results. This project aims to overcome this by taking on several particularly difficult examples of American English intonation, using several complementary experimental methods. Comparison of the results from these different approaches will answer not just isolated questions about American English, but more importantly broader questions about how to test competing theories of intonation. The goal is a consensus method for investigating intonation in human language in general. Success in reaching that goal will improve emerging speech technologies and their application across languages, as well as helping linguistic field workers and second-language teachers grappling with questions of how to convey what is meaningful in a given language's intonation system.

任何对合成语音、文本到语音或语音识别技术有过短暂经验的人都会敏锐地意识到，我们对人类语音中的节奏和语调仍然有很多不了解。语调非常重要：语调轮廓的变化--在说话过程中音调的上升和福尔斯的特征--可以改变所传达的意思，通常是戏剧性的。（比较“他是可靠的。“vs.“他可靠吗“）即使其他一切都是正确的，如果语调错误，最好的情况下会使讲话听起来不像母语，最坏的情况下甚至不像人类。解决这个问题是一个严峻的挑战，因为语调的区别是不可靠的。 大多数以英语为母语的人不能自信地说出一个给定的话语是否传达了“怀疑”或“听天由命的接受”，就像他们通常能说出一个给定的声音序列是否意味着“猫”一样。语调意味着什么以及什么确切地表达了这个意思的问题也反映在实验研究中;研究人员经常对结果的解释持不同意见。这个项目的目的是克服这一点，采取了几个特别困难的美国英语语调的例子，使用几个互补的实验方法。对这些不同方法的结果进行比较，不仅可以回答关于美国英语的孤立问题，而且更重要的是，可以回答关于如何测试语调竞争理论的更广泛的问题。我们的目标是一个共识的方法，在人类语言的语调调查一般。成功实现这一目标将改善新兴的语音技术及其在不同语言中的应用，并帮助语言领域的工作者和第二语言教师解决如何在给定语言的语调系统中传达有意义的内容的问题。