Decoding nn output with dictionary and keyword spoting

[anofryev]

Can not find any actual examples or documentation of how to use PyLaia for keyword spotting and decoding the output with dictionary and language model. Are there some examples of how to do that? Please ,i'll be grateful for any info

[carmocca]

There are some examples in this directory:

https://github.com/carmocca/PyLaia-examples/tree/master/legacy

Note that you will need to install an old PyLaia version to run them, particularly this one:

https://github.com/jpuigcerver/PyLaia/tree/v0.1.0

[anofryev]

There are some examples in this directory:

https://github.com/carmocca/PyLaia-examples/tree/master/legacy

Note that you will need to install an old PyLaia version to run them, particularly this one:

https://github.com/jpuigcerver/PyLaia/tree/v0.1.0

Thanks. Can you specify please which folders will be better for me to inspect? I see here some kws experiments, based on a phocnet, but i need based on a recurrent nn with line-level image input