2018-asr-attention/librispeech/attention/exp3.ctc.lm.config: target 'bpe' unknown

[rwth-i6]

2018-asr-attention/librispeech/attention/exp3.ctc.lm.config: target 'bpe' unknown

[albertz]

Hi,

That's an interesting task. It's 536h training data? Or how much? I don't quite understand how to read the table.

I would recommend a new data preparation pipeline. It's kind of similar to 2018-asr-attention (to the latest version, in Ogg Zip format), but cleaned up, and more generic (it uses the OggZipDataset, and not LibriSpeechCorpus).
It's 2020-librispeech-data-prepare.

How did you do the data preparation? Which dataset in RETURNN did you use? Different dataset might use different data-keys. E.g. in the SprintDataset, it's called "bpe", and in many other datasets, it's called "classes". Depending what the dataset provides, you need to configure the corresponding data-keys in your config (via num_outputs, or via extern_data), and then also use the right target.

More specifically, in your current config:

• You probably have target = "bpe" somewhere, but your extern-data is configured such that there is "classes", not "bpe". So just change it to target = "classes".
• Or maybe, you configured your extern-data (via num_outputs or extern_data) wrong. You maybe have num_outputs = {..., "classes": ...}. Just change "classes" to "bpe".

Which variant is correct depends on your dataset class (some provide "bpe", most provide "classes").

[albertz]

Btw, what is your attention baseline config? The exp3.ctc is old (from 2018). I would suggest to use some of the configs from 2019-asr-e2e-trafo-vs-lstm.

[christophmluscher]

No answer. Closed for now.