Depth and breadth neural network combined speech enhancement algorithm of digital hearing aid
A neural network and speech enhancement technology, applied in hearing aids, hearing aid signal processing, electrical components, etc., can solve problems such as increased algorithm complexity, achieve strong robustness, improve intelligibility, and improve voice quality
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[0024] Step 1: Pre-processing the input signal of the digital hearing aid, that is, de-averaging, normalization, pre-emphasis, framing, and windowing;
[0025] (1) The analog input signal x(t) of the digital hearing aid, during the A / D conversion, the sampling rate is 16kHz, and the converted digital signal is x(n);
[0026] (2) In order to eliminate the DC component, the average is removed; in order to cancel the magnitude difference between the data of each dimension, and avoid the large error caused by the large magnitude difference between the input and output data, the data is normalized; due to the high frequency band energy of the voice signal Small, resulting in weakening of high-frequency transmission, and pre-emphasis emphasizes high-frequency parts to improve signal transmission quality. The de-averaging formula is shown in formula (1), the normalization formula is shown in formula (2), and the pre-emphasis formula is shown in formula (3).
[0027] x 1 (n)=x(n)-mean(x(n))...
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