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System and method for characterizing voiced excitations of speech and acoustic signals, removing acoustic noise from speech, and synthesizing speech

机译:用于表征语音和声音信号的发声激励,从语音中去除声音噪声以及合成语音的系统和方法

摘要

The present invention is a system and method for characterizing human (or animate) speech voiced excitation functions and acoustic signals, for removing unwanted acoustic noise which often occurs when a speaker uses a microphone in common environments, and for synthesizing personalized or modified human (or other animate) speech upon command from a controller. A low power EM sensor is used to detect the motions of windpipe tissues in the glottal region of the human speech system before, during, and after voiced speech is produced by a user. From these tissue motion measurements, a voiced excitation function can be derived. Further, the excitation function provides speech production information to enhance noise removal from human speech and it enables accurate transfer functions of speech to be obtained. Previously stored excitation and transfer functions can be used for synthesizing personalized or modified human speech. Configurations of EM sensor and acoustic microphone systems are described to enhance noise cancellation and to enable multiple articulator measurements.
机译:本发明是一种系统和方法,用于表征人(或动画)语音发声的激励功能和声学信号,消除在扬声器扬声器在常见环境中经常发生的不想要的声学噪声,以及合成个性化的或修改的人(或)。控制器发出命令后,发出其他动画声音。低功率EM传感器用于在用户发出浊音之前,期间和之后检测人类语音系统声门区域内气管组织的运动。从这些组织运动测量结果中,可以得出有声激发函数。此外,激励功能提供语音产生信息以增强从人类语音中的噪声去除,并且其使得能够获得语音的准确传递函数。先前存储的激励和传递函数可用于合成个性化或修改的人类语音。描述了EM传感器和声学麦克风系统的配置,以增强噪声消除效果并实现多个咬合架测量。

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