How to test the model which I have generated with new dataset.

[animeshkalita82]

Hi Mr. Rolczynski,
I have tried to generate a new model with a new training dataset(code is as below which is same as you have mentioned in github)
dataset = asr.dataset.Audio.from_csv('C:/Users/XXXXX/Automatic-Speech-Recognition-master/84-121123-dev.csv', batch_size=25)
dev_dataset = asr.dataset.Audio.from_csv('C:/Users/XXXXX/Automatic-Speech-Recognition-master/84-121550-dev.csv', batch_size=25)

alphabet = asr.text.Alphabet(lang='en')
features_extractor = asr.features.FilterBanks(
features_num=160,
winlen=0.02,
winstep=0.01,
winfunc=np.hanning
)
model = asr.model.get_deepspeech2(
input_dim=160,
output_dim=29,
rnn_units=800,
is_mixed_precision=False
)
optimizer = tf.optimizers.Adam(
lr=1e-4,
beta_1=0.9,
beta_2=0.999,
epsilon=1e-8
)
decoder = asr.decoder.GreedyDecoder()
pipeline = asr.pipeline.CTCPipeline(
alphabet, features_extractor, model, optimizer, decoder
)
pipeline.fit(dataset, dev_dataset, epochs=25)
pipeline.save('C:/Users/XXXX/Automatic-Speech-Recognition-master/Automatic-Speech-Recognition-master/automatic_speech_recognition/checkpoint/')

The training resulted in some files, which are as below in the checkpoint directory
'alphabet.bin, , 'decoder.bin', 'feature_extractor.bin', and 'model.h5'

But my question is how to load the model which i have just created. I believe the code which you have provided to test a pre -trained model (below) works only with deep speech model and not my own model.

file = 'to/test/sample.wav' # sample rate 16 kHz, and 16 bit depth
sample = asr.utils.read_audio(file)
pipeline = asr.load('deepspeech2', lang='en')
pipeline.model.summary() # TensorFlow model
sentences = pipeline.predict([sample])

Can you please help me to resolve this. I really appreciate your effort in helping the larger audience to get the knowledge of how speech to text recognition works.

[askinucuncu]

Is there an explanatory document on how to use the produced model file?