noahchalifour / baidu-deepspeech2 Goto Github PK

Hi. I'm Studying Speech Recognition. I have some question.
This model takes 4 inputs, below code.

self.model = tf.keras.Model(inputs=[input_data, labels, input_length, label_length], outputs=[loss_out])

If this model predicts test case that is unlabeled, i can't give 'labels', 'label_length' as inputs.
How can i do?

Is it possible to directly use the pre-trained model without downloading the whole 20-30 GBs of data?

Hi, I am studying ASR and its implementation. Here I have done upto training part, now want to evaluate and test the model. How can I do this, as there is no evaluate and testing file is available..
Thanks.

Hi Noah,

I am an undergraduate student and I am using your project as a guideline for creating a similar speech recognition system. I have a few questions, however, I had not been able to contact you. Please contact me on my email: [email protected] or on facebook - Koko Tonev. I found your profile on Facebook and messaged you but I got no response and I have some problems with my system that I don't understand... Many thanks in advance!

Kind regards,
Koko Tonev

And how does it compare to the reference from the paper?

The paper does not make reference to a log_linear spectrogram.