Automated tools for identifying syllabic landmark clusters that reflect changes in articulation

Automated tools for identifying syllabic landmark clusters that reflect changes in articulation
复制标题

用于识别反映发音变化的音节标志簇的自动化工具

DOI：
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发表时间：
2011
期刊：
International Workshop on Models and Analysis of Vocal Emissions for Biomedical Applications
影响因子：
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通讯作者：
J. MacAuslan
J. MacAuslan
中科院分区：
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文献类型：
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作者：
S. Boyce;H. Fell;Lorin Wilde;J. MacAuslan

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我们开发了一套软件工具，用于基于声学标志检测和分类来检测音节单位产生过程中的发音变化。这个自动分析系统在帕金森氏病和睡眠剥夺的研究中的应用结果表明，它能够检测到细微的变化。我们正在将这些工具作为Wavesurfer和R等系统的附加组件提供。
We have developed a set of software tools to detect articulatory changes in the production of syllabic units based on acoustic landmark detection and classification. Results from the application of this automatic analysis system to studies of Parkinson's Disease and Sleep Deprivation show the ability to detect subtle change. We are making these tools available as add-ons to systems such as Wavesurfer and R.