I have only tensorflow's official GPU installation.
With speecht-cli record --run-name best_run --language-model kenlm-english/ command, I'm getting this error:
Traceback (most recent call last):
File "/home/mertyildiran/.local/bin/speecht-cli", line 221, in <module>
cli.run()
File "/home/mertyildiran/.local/bin/speecht-cli", line 207, in run
self.command_executor.run()
File "/home/mertyildiran/.local/lib/python3.5/site-packages/speecht/recording.py", line 43, in run
model = create_default_model(self.flags, self.flags.input_size, speech_input_loader)
File "/home/mertyildiran/.local/lib/python3.5/site-packages/speecht/speech_model.py", line 318, in create_default_model
valid_word_count_weight=flags.valid_word_count_weight)
File "/home/mertyildiran/.local/lib/python3.5/site-packages/speecht/speech_model.py", line 111, in add_decoding_ops
top_paths=1)
TypeError: ctc_beam_search_decoder() got an unexpected keyword argument 'kenlm_directory_path'
Probably because you said; "you need Tensorflow with KenLM integration" in that section. But I also stuck in tensorflow-with-kenlm's guide and I don't know what the exact cause. So I'm opening this issue as a question @timediv thank you so much.
I'm trying to follow Using a language model section.
I have only tensorflow's official GPU installation.
With
speecht-cli record --run-name best_run --language-model kenlm-english/
command, I'm getting this error:Probably because you said; "you need Tensorflow with KenLM integration" in that section. But I also stuck in tensorflow-with-kenlm's guide and I don't know what the exact cause. So I'm opening this issue as a question @timediv thank you so much.
I also opened https://github.com/timediv/tensorflow-with-kenlm/issues/4