1
Serguei V S Pakhomov: Automatic measurement of speech fluency. Regents of the University of Minnesota, Shumaker & Sieffert P A, July 23, 2013: US08494857 (11 worldwide citation)

Techniques are described for automatically measuring fluency of a patient's speech based on prosodic characteristics thereof. The prosodic characteristics may include statistics regarding silent pauses, filled pauses, repetitions, or fundamental frequency of the patient's speech. The statistics may ...


2
Serguei V S Pakhomov, Laura Sue Hemmy, Kelvin O Lim: Automated verbal fluency assessment. Regents of the University of Minnesota, Shumaker & Sieffert P A, February 21, 2017: US09576593 (4 worldwide citation)

Techniques are described for calculating one or more verbal fluency scores for a person. An example method includes classifying, by a computing device, samples of audio data of speech of a person, based on amplitudes of the samples, into a first class of samples including speech or sound and a secon ...


3
Serguei V S Pakhomov: Automatic measurement of speech fluency. Regents of the University of Minnesota, Shumaker & Sieffert P A, January 5, 2016: US09230539

Techniques are described for automatically measuring fluency of a patient's speech based on prosodic characteristics thereof. The prosodic characteristics may include statistics regarding silent pauses, filled pauses, repetitions, or fundamental frequency of the patient's speech. The statistics may ...