U.S.-Sweden Cooperative Science: Acoustic Models of Consonant Production

这个为期两年的语言学奖将支持合作 Kenneth N.马萨诸塞州的史蒂文斯 麻省理工学院（MIT）和Gunnar Fant博士 瑞典斯德哥尔摩的皇家理工学院。 该项目的目标是促进科学 理解语音的声学过程， 尤其是辅音的产生。 麻省理工学院和麻省理工学院的演讲团体长期以来 在声学理论研究方面的合作， 辅音的感觉。 最近，R.I. T集团 一直活跃在发展电脑为基础的声乐 辅音产生的tract-models;然而，MIT小组 专注于辅音的声学分析和合成 以及声学研究在 语音学和音系学。 拟议的合作将 把美国和瑞典的演讲团体最近的工作联系起来 在辅音产生的问题区域。 这些 包括：（1）在元音处的喉部发声- 辅音和辅音-元音边界，（2）机制 （3）发出塞音时的发声; 鼻内爆和鼻松解时的声学变化 辅音。 史蒂文斯博士建议使用基于计算机的 模型在R.I. T广泛测试MIT理论， 了解模型，以便可以在计算机上实现 简称mit为今后的研究工作。 该领域将受益 从两个小组的互补专业知识， 我们对辅音产生和过程的理解。 这 研究在发展中有重要的应用， 机器（电子）语音合成和识别。 它还与以下疾病的诊断和治疗有关： 沟通障碍和第二语言学习。

This two-year award in linguistics will support collaborative research between Dr. Kenneth N. Stevens of the Massachusetts Institute of Technology (M.I.T) and Dr. Gunnar Fant of the Royal Institute of Technology (R.I.T) in Stockholm, Sweden. The objective of the proposed project is to advance scientific understanding of the acoustic processes of speech sounds, specifically consonant production. The M.I.T and R.I.T speech groups have had a long-standing collaboration in theoretical studies of acoustics and perception of consonants. Recently, the R.I.T group has been active in the development of computer-based vocal tract-models of consonant production; whereas, the MIT group has focused on acoustic analysis and synthesis of consonants and the application of acoustic studies to theories of phonetics and phonology. The proposed collaboration will link the recent work of American and Swedish speech groups in problematic areas in consonant production. These include: (1) sound generation at the larynx at vowel- consonant and consonant-vowel boundaries, (2) mechanisms of sound production at the release of stop consonants; and (3) acoustic changes at the implosion and release of nasal consonants. Dr. Stevens proposes to use the computer-based model at R.I.T to extensively test the M.I.T theories and to understand the model so it can be implemented on computers at M.I.T. for future research work. The field will benefit from the complementary expertise of both groups and advance our understanding of consonant production and processes. This research has important applications in the development of machine-made (electronic) speech synthesis and recognition. It also has relevance for the diagnosis and treatment of communication disorders and in second language learning.