Comments (9)
@kazuki-irie Can you upload your shallow fusion config also (here)?
@akshatdewan Yes, sorry, we forgot to upload that config. You will find a similar config for shallow fusion for Switchboard here. It should not be hard to adapt this in the same way for LibriSpeech.
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Thanks @albertz I will try modifying the SWB config file.
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I have added the config.
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Thanks! I'm closing this now. Feel free to reopen if there are further issues.
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Thank you! I just have a question regarding the input to the lm subnetwork -
I am having troubles understanding what it means when it says "from":["prev:output"]
here. Could you please help me understand where the input to the layer lm_out
is coming from?
Thanks
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It means that the input to the LM is the output of the previous frame.
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Thanks! And I am sorry, I missed it here
In the subnetwork, you can access outputs from layers from the previous time step when they are referred to with the "prev:" prefix.
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@akshatdewan
Hi,
I wang to train an LSTM LM using the config. But I have no idea about the exactly form of the /work/asr3/irie/data/librispeech/lm_bpe/librispeech-lm-norm.bpe.txt.gz . So I can not shape my data. And also I coming to the trouble of def cf(filename) , err_msg = "No such file or directory: 'cf'".
Can you please help me out.
Thanks for your help.
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@yanghongjiazheng See my answer in #21, and please let's keep any further discussion/question in there.
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Related Issues (20)
- local attention with unidirectional lstm not converging HOT 5
- Implement a unidirectional variant of local attention HOT 10
- Loading a saved Returnn model from its .meta file HOT 16
- query regarding LM data preprocessing HOT 2
- Reusing parameters inside rec layer HOT 5
- Training Configuration for TEDLIUMv2 HOT 3
- specAugment policy and schedules HOT 3
- Question about 2020-rnn-transducer HOT 16
- 2018-asr-attention/librispeech/attention/exp3.ctc.lm.config: target 'bpe' unknown HOT 3
- Question about 2018-asr-librispeech dev = get_dataset("dev", subset=3000) HOT 2
- loss nan and cost nan while running my own corpus using librispeech sets HOT 10
- Hierarchical layer name not captured correctly
- Problem with retrieving source layer from a hierarchical definition
- Multi Stage Training
- Questions on librispeech transformer lm HOT 10
- Transducer error in GetFilteredScoreOp HOT 4
- Big files in repo HOT 5
- Git commit/push rule to not allow big files HOT 3
- Could you please provide a script that could run lsh-attention for translation? HOT 4
- Assert Error when running 2022-lsh-attention HOT 7
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