要使用TFLearn构建语音识别模型，您可以按照以下步骤操作：
import tflearn
from tflearn.data_utils import to_categorical, pad_sequences
from tflearn.datasets import imdb
train, test, _ = imdb.load_data(path='imdb.pkl', n_words=10000, valid_portion=0.1)
X_train, Y_train = train
X_test, Y_test = test
X_train = pad_sequences(X_train, maxlen=100, value=0.)
X_test = pad_sequences(X_test, maxlen=100, value=0.)
Y_train = to_categorical(Y_train, nb_classes=2)
Y_test = to_categorical(Y_test, nb_classes=2)
net = tflearn.input_data([None, 100])
net = tflearn.embedding(net, input_dim=10000, output_dim=128)
net = tflearn.lstm(net, 128, dropout=0.8)
net = tflearn.fully_connected(net, 2, activation='softmax')
net = tflearn.regression(net, optimizer='adam', loss='categorical_crossentropy')
model = tflearn.DNN(net, tensorboard_verbose=0)
model.fit(X_train, Y_train, validation_set=(X_test, Y_test), show_metric=True, batch_size=32)
predictions = model.predict(X_test)
这样，您就可以使用TFLearn构建和训练语音识别模型了。您可以根据自己的需求和数据集调整模型的结构和参数。
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