Speech barrier multi-dimensional measurement system and method based on real-time speech multi-dimensional modeling
A real-time voice and measurement system technology, applied in diagnostic recording/measurement, medical science, sensors, etc., and can solve problems such as few characteristic parameters
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Embodiment 1
[0041] Embodiment 1: speech intelligibility measurement
[0042] In this embodiment, the microphone is used to record the voice read by the user through linear input, so as to collect the phoneme data of the voice segment. There are several scoring points in the test speech material, which can be used to judge speech clarity, such as figure 1 shown. After the full text was judged and divided, computing device 2 calculated the percentage of the correct number in the speech and the total judged points. Parameters such as speech intelligibility, such as figure 2 shown. The judging device 3 compares each parameter value of the user with the standard numerical range corresponding to its age and gender according to the user's information. If the parameter value is within the standard numerical range, it means that the user's speech intelligibility ability is normal; If the parameter value is lower than the standard value range, it means that there is a speech disorder, and the ...
Embodiment 2
[0043] Embodiment 2: Speech fluency measurement
[0044] The test voice material is respectively in the form of rising tone, falling tone and rising and falling tone, and the collection device 1 collects the voice that the user sends according to the test voice material to obtain the supersegmental phoneme data, and the computing device 2 calculates the supersegmental phoneme data. Calculate the standard deviation of the fundamental frequency to obtain the parameter value of the rate of pitch change.
[0045] In this embodiment, the pitch-increasing measurement is taken as an example. The test voice material is a vowel / i--i / that is raised from the smallest pitch to the largest pitch as far as possible in the form of a rising pitch. The user pronounces according to the test voice material, and the collection device 1 Acquire phoneme data in the speech signal. Preferably, during the collection process of the collection device 1, the user's voice is pre-processed such as pre-f...
Embodiment 3
[0049] Embodiment 3: Unvoiced and voiced conversion ability measurement
[0050] The ratio of unvoiced and voiced sounds mainly refers to the ratio of the duration of unvoiced sounds to the duration of voiced sounds in a speech segment. The collection device 1 collects the mixed-type segmental phoneme data from the user's speech segment, and the computing device 2 performs unvoiced and voiced discrimination on the mixed-type segmental phoneme data to obtain the duration of the unvoiced part and the voiced part, and divides the duration of the former With the latter duration, a parameter value of a mixed segmental phoneme is obtained, that is, the ratio of unvoiced and voiced sounds.
[0051] This implementation takes the voice material "cuff" (kao4) issued by the user as an example, which contains both unvoiced and voiced sounds. After the phoneme data is collected by the collection device 1, the computing device 2 discriminates the unvoiced and voiced sounds, detects and mar...
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