DeokJin

Hi. I want to change dataset and recognize in korean. I use librosa mel-spectro as extraction features. It shows below.  I didn't modify model parameters and train parameters. But...

Hi. @kaituoxu thanks to your good project. if i don't use bucketing input data, shouldn't i use time resolution? i think that time resolution makes unbalance split if not bucketing.

Fix korean decoding with lower case. thanks.

anyone get a good performance?

1

Hi. I ran this project for korean speech recognition. But loss is not decreasing and i don't get good predictions. I've already used preprocessing method that works well on DeepSpeech...

Hi. I'm Studying Speech Recognition. I have some question. This model takes 4 inputs, below code. ```python self.model = tf.keras.Model(inputs=[input_data, labels, input_length, label_length], outputs=[loss_out]) ``` If this model predicts test...