Voice identification method utilizing segmenting-layering construction method
A speech recognition and speech technology, applied in speech recognition, speech analysis, instruments, etc., can solve problems such as large amount of calculation, difficulty in real-time completion, and impact on recognition effect, so as to ensure time-consuming recognition, reduce dependence, and ensure recognition effect Effect
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[0098] Implementation conditions: the parameters required by the algorithm are shown in Table 3
[0099] Table 3 parameter description
[0100] parameter symbol
Parameter Description
parameter value
f
Sampling frequency
8000
len
frame length
256
inc
frame shift
80
Δ 1
threshold
0.02
α
threshold
0.2
Zcr1
threshold
0.05
Zcr2
threshold
0.15
Zcr3
threshold
0.5
C 0 E1
threshold
0.05
C 0 E2
threshold
0.15
minlen
threshold
15
max silence
threshold
15
maxlen
threshold
35
[0101] In addition, the special frame parameters of each frame of speech are composed of 12-dimensional MFCC parameters and 12-dimensional MFCC difference parameters, a total of 12-dimensional data, and the speech model is a hidden Markov model with 4 st...
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