Deep learning-based unusual speech distinguishing method
A deep learning, abnormal technology, applied in speech recognition, speech analysis, instruments, etc., can solve the problems of speaker information interference and recognition performance degradation
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[0104] A method for distinguishing abnormal speech based on deep learning, comprising the following steps:
[0105] Step 1: Obtain the input voice, and perform preprocessing such as resampling, pre-emphasis, frame division and windowing on the input voice to obtain the pre-processed voice;
[0106] Resampling is specifically: the input voice has different sampling frequencies and encoding methods. In order to facilitate data processing and analysis, the original input voice signal is resampled, and the sampling frequency and encoding method are unified; the sampling frequency is 22.05kHz, and the encoding method is wav Format.
[0107] The pre-emphasis is specifically: the power spectrum of the audio signal decreases with the increase of the frequency, and most of the energy is concentrated in the low-frequency range. In order to improve the high-frequency part of the original audio signal, the original input audio signal is pre-emphasized. order FIR high-pass filter, its tra...
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