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speech-scoring
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removed a layer using lstm

master
Malar Kannan 2017-11-22 15:46:42 +05:30
parent 6355db4af7
commit 54f38ca775
2 changed files with 3 additions and 2 deletions
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1
requirements-linux.txt
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@ -41,6 +41,7 @@ partd==0.3.8
pexpect==4.2.1 pexpect==4.2.1
pickleshare==0.7.4 pickleshare==0.7.4
pkg-resources==0.0.0 pkg-resources==0.0.0
praat-parselmouth==0.2.0
progressbar2==3.34.3 progressbar2==3.34.3
prompt-toolkit==1.0.15 prompt-toolkit==1.0.15
protobuf==3.4.0 protobuf==3.4.0

4
speech_model.py
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@ -18,9 +18,9 @@ def create_base_rnn_network(input_dim):
inp = Input(shape=input_dim) inp = Input(shape=input_dim)
# ls0 = LSTM(512, return_sequences=True)(inp) # ls0 = LSTM(512, return_sequences=True)(inp)
ls1 = Bidirectional(LSTM(128, return_sequences=True))(inp) ls1 = Bidirectional(LSTM(128, return_sequences=True))(inp)
ls2 = LSTM(128, return_sequences=True)(ls1) #ls2 = LSTM(128, return_sequences=True)(ls1)
# ls3 = LSTM(32, return_sequences=True)(ls2) # ls3 = LSTM(32, return_sequences=True)(ls2)
ls4 = LSTM(64)(ls2) ls4 = LSTM(64)(ls1)
# d1 = Dense(128, activation='relu')(ls4) # d1 = Dense(128, activation='relu')(ls4)
#d2 = Dense(64, activation='relu')(ls2) #d2 = Dense(64, activation='relu')(ls2)
return Model(inp, ls4) return Model(inp, ls4)