Voice denoising method based on audio recognition
A voice noise reduction and audio recognition technology, applied in voice analysis, instruments, etc., can solve problems such as increased system complexity, failure to meet requirements, and inability to guarantee filter coordination and complementarity, and achieve the goal of improving integrity and classification accuracy Effect
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[0020] According to the method described in the above-mentioned summary of the invention, the specific implementation process is as follows:
[0021] 1. Establish a training sample library, read speech and noise samples in sequence, extract audio signal feature parameters, and form a training sample feature vector matrix.
[0022] 2. After acquiring the input signal, divide the original signal into frames with 20ms as a frame, and then process it with a Hamming window. The second step of processing is performed in units of 10 frames, and each step is 5 frames.
[0023] 3. Feature extraction: This method mainly uses Mel cepstrum coefficient (MFCC) and its first-order difference, sub-band energy distribution, and the calculated feature parameters form a one-dimensional feature vector. The specific extraction process is as follows:
[0024] (1) Mel cepstrum coefficient (MFCC) and its first-order difference
[0025] ① Carry out discrete FFT transformation on the input 10-frame ...
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