Comments (8)
@ilyasmg you need to update the docs
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Mine works fine with that tutorial's code, and I have DeepSpeech: v0.7.0-alpha.1-0-g60cbe3b
To resolve did you just remove "lm_file" from model.enableDecoderWithLM()? @Christian-Nja
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Maybe it's the case to release the tutorial using a stable release and not an alpha.
So we are sure that everything is aligned and works.
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No sorry @ilyasmg to resolve i used the code suggested in the answer to that issue: https://github.com/mozilla/DeepSpeech/blob/master/native_client/python/client.py
but i didn't compare line by line to check differences
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I am not sure if the wiki page was updated, @ilyasmg
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I tried to fix the tutorial and I also tried using the client.py file but I get this error "RuntimeError: CreateModel failed with 'Incompatible model.' (0x2003)" when I use "output_graph.pbmm". I upgraded to deepspeech 0.7.1.
Could it be that the model released 2020.03.13 is not compatible with the stable deepspeech? @Mte90
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Probably yes, I will ask to release a new one.
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Closing because the latest release use a different DS verison
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Related Issues (20)
- MITADS - Transcript roman numbers HOT 4
- Readme improvements
- Not clear how to do a simple speech recognition HOT 9
- deepspeech - lm.binary and trie: how to? HOT 4
- Create the "contributing" file HOT 1
- Experiment on creating a new dataset audio+text HOT 3
- Voxforge bad samples, help for cleaning up HOT 3
- MITADS - convert numbers to their literal expression HOT 2
- LIST OF AUDIO+TEXT DATASETS HOT 10
- Really bad results on Raspberry Pi 4 HOT 1
- Other italian models for transfer learning HOT 4
- MITADS - new corpora to import HOT 3
- MLS and MAILABS: considerations and issues ( Have you seen my apostrophe?) HOT 9
- Building a custom external scorer (extending the Italian text corpus) HOT 4
- ERROR: Model provided has model identifier 'K�+�', should be 'TFL3' HOT 5
- Project license HOT 3
- Migrate to Coqui
- Docker build fail HOT 2
- Documentation about how to run the various bash script alone
- DOCKERFILE Merge flag TRANSFER_LEARNING and DROP_SOURCE_LAYER HOT 2
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