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speeq's Issues

Adding librispeech recipe

Description

Adding script that does data re-structuring and formatting to be used and trained in the framework

Additional Information

No response

Enhance CSVDataset class to have ',' as default sep

Description

Enhance CSVDataset class to have ',' as default sep.

Before the enhancment:

from speeq.data.loaders import CSVDataset

file = CSVDataset(data_path="test.csv", sep=',')

After the enhancement:

from speeq.data.loaders import CSVDataset

file = CSVDataset(data_path="test.csv")

Additional Information

No response

First item attention

What happened?

The current RNN based decoder with attention rely on the the last hidden state when it comes to the first prediction or injecting the SOS token, this should be resolved

What the code you used and failed?

N/A

Version

0.0.0

What python version do you use?

No response

What operating system are you running?

No response

Supporting word tokenizer

Description

Currently, the only tokenizer supported is a character based tokenizer, it would be good to add white space/word tokenizer

Additional Information

No response

Integrating the augmenters with the dataset

What happened?

currently, there's no way to integrate or use any augmentation implemented with the data pipeline

What the code you used and failed?

N/A

Version

0.0.0

What python version do you use?

No response

What operating system are you running?

No response

CTCModel can be instantiated

What happened?

An object from ctc.py::CTCModel can be instantiated, but the forward function raises an Error because self.encoder is not implemented.

Should be modified to private.

What the code you used and failed?

No response

Version

No response

What python version do you use?

No response

What operating system are you running?

No response

passing gradient clipping parameters to the trainers

What happened?

Currently when the trainer args get created the gradient clipping params get ignored!

What the code you used and failed?

No response

Version

No response

What python version do you use?

No response

What operating system are you running?

No response

Supporting Seq2Seq Builder

Description

Currently we support only Transducer builder and CTC builder only

Additional Information

No response

Loading pre-trained model

Description

Currently, the optimizer parameters get loaded if a pre-trained model passed, it would be better if we Add an option to reset the optimizer learning rate when loading it

Additional Information

No response

setting min_loss in the trainer from pre-trained model

What happened?

When loading a pre-trained model to continue the training from the latest checkpoint the min_loss in the trainer gets assigned to inf it has to get the latest value reached from the history!

What the code you used and failed?

No response

Version

No response

What python version do you use?

No response

What operating system are you running?

No response

Passing text_key and speech_key from the data config object

What happened?

the parameters text_key and speech_key in the SpeechTextDataset are not getting initialized from the data config object and they always take the default value

What the code you used and failed?

No response

Version

No response

What python version do you use?

No response

What operating system are you running?

No response

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