在Python中获得图形频率语音时如何识别语音？

Question

我有一个项目识别人的声音。 在那个项目中，我得到了频率语音图，但现在我不知道在得到频率图语音后如何识别语音。 这是我的代码。

import numpy as np
import matplotlib.pyplot as plt
from scipy.io import wavfile
from python_speech_features import mfcc, logfbank


frequency_sampling, audio_signal = wavfile.read("cello.wav")

print('\nSignal shape:', audio_signal.shape)
print('Signal Datatype:', audio_signal.dtype)
print('Signal duration:', round(audio_signal.shape[0] /
float(frequency_sampling), 2), 'seconds')

audio_signal = audio_signal / np.power(2, 15)

length_signal = len(audio_signal)
half_length = np.ceil((length_signal + 1) / 2.0).astype(int)

signal_frequency = np.fft.fft(audio_signal)

signal_frequency = abs(signal_frequency[0:half_length]) / length_signal
signal_frequency **= 2

len_fts = len(signal_frequency)

if length_signal % 2:
   signal_frequency[1:len_fts] *= 2
else:
   signal_frequency[1:len_fts-1] *= 2

# signal_power = 10 * np.log10(signal_frequency)
signal_power = 10 * np.log10(signal_frequency)

x_axis = np.arange(0, half_length, 1) * (frequency_sampling / length_signal) / 1000.0

plt.figure()
plt.plot(x_axis, signal_power, color='black')
plt.xlabel('Frequency (kHz)')
plt.ylabel('Signal power (dB)')
# plt.show()

frequency_sampling, audio_signal = wavfile.read("111.wav")


audio_signal = audio_signal[:15000]


features_mfcc = mfcc(audio_signal, frequency_sampling)


print('\nMFCC:\nNumber of windows =', features_mfcc.shape[0])

print('Length of each feature =', features_mfcc.shape[1])



features_mfcc = features_mfcc.T
plt.matshow(features_mfcc)
plt.title('MFCC')
filterbank_features = logfbank(audio_signal, frequency_sampling)

print('\nFilter bank:\nNumber of windows =', filterbank_features.shape[0])
print('Length of each feature =', filterbank_features.shape[1])
filterbank_features = filterbank_features.T
plt.matshow(filterbank_features)
plt.title('Filter bank')

# features_mfcc1 = features_mfcc.T
# plt.matshow(features_mfcc1)
# plt.title('MFCC')
# filterbank_features = logfbank(audio_signal, frequency_sampling)
#
plt.show()

我得到了图 1 的图表。

还有图2的声音。

现在！ 当我运行图 1 的声音时，我必须做什么才能识别人物图 1。 谁来帮帮我！