此行中的错误
ps_test = [m.transform(observation) for m in ms]
代码（部分）
transform funciton-
def transform(self, obs):
if len(obs.shape) == 2:
B = self._state_likelihood(obs)
log_likelihood, _ = self._forward(B)
return log_likelihood
elif len(obs.shape) == 3:
count = obs.shape[0]
out = np.zeros((count,))
for n in range(count):
B = self._state_likelihood(obs[n, :, :])
log_likelihood, _ = self._forward(B)
out[n] = log_likelihood
return out
本部分中的错误-
new_data = np.zeros(9600)
maxsize = 755260
_, new_d = wavfile.read(r"C:\Users\Kanika Bansalwal\AppData\Local\Programs\Python\Python36\audio1\apple\apple01.wav")
print(new_d.shape[0])
new_data = np.zeros(new_d.shape[0])
new_data[:new_d.shape[0]] = new_d
new_data = new_data[:maxsize]
observation = []
new_d = np.abs(stft(new_data))
n_dim = 10
new_obs = np.zeros((n_dim, new_d.shape[0]))
for r in range(new_d.shape[0]):
_, t = peakfind(new_d[r, :], n_peaks=n_dim)
new_obs[:, r] = t.copy()
observation.append(new_obs)
observation = np.atleast_3d(observation)
observation /= observation.sum(axis=1)
**ps_test = [m.transform(observation) for m in ms]**
res_test = np.vstack(ps_test)
test_predicted_label = np.argmax(res_test, axis=0)
word_spoken = dictionary[test_predicted_label]
print (word_spoken)