SGER: EM-Sensor/Acoustic Speech-Articulator Measurements Validation

最近在加州大学戴维斯分校和劳伦斯利弗莫尔国家实验室的测量表明，非常低的功率，低成本的雷达可以用来测量人类的语音发音位置和运动的语音是清晰的。 该附加信息提供了关于声带运动的单独的数据流（即， 提供有声激励信息）和软腭、颌、舌和唇上。 这个项目的目的是提供这些数据的例子，从一个有代表性的样本的发言者，以供他们的分析语音社区。 这些包括使用两个或更多个语音优化雷达，同时语音，在几个噪声环境中使用。 此外，将为选定的浊音语音段提供使用激励信息和阿尔马方法的音高同步处理的研究。

Recent measurements at UC Davis and Lawrence Livermore National Laboratory have shown that very low power, low cost radars can be used to measure human speech articulator positions and motions as speech is articulated. This additional information provides separate streams of data on the motions of the vocal folds (i.e., providing voiced excitation information) and on the soft palate, jaw, tongue, and lips. This project is designed to provide examples of these data from a representative sample of speakers to the speech community for their analysis. These include the use of two or more speech optimized radars with simultaneous speech, optained in several noise environments. In addition, studies of pitch synchronous processing using the excitation information and ARMA methods will be provided for selected voiced speech segments.