ASR training using ESPnet2 library calls
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Assessment
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Newbie friendliness
- 25/100
- Issue type
- Documentation
- Clarity
- Needs clarification
- Activity status
- Stale
- Tech stack
- jupyter-notebook, python
- Domain
- audio-video-rtc, documentation, machine-learning
Research direction
Start with the linked timit_train_espnet2.md experiment and reproduce the epoch 1 training error. Compare its Python data preparation for sound or npy inputs with the ESPnet2 training entry points. Done means a working example notebook that prepares the data separately and trains an ASR model without recipes.
Written by the indexing model from the issue text.
Description
Hi - I am looking for an example notebook where I want to train an ASR on a dataset such as TIMIT using ESPnet2 library calls. The data preparation is required to be done separately in Python (not using recipes) for 'sound' or 'npy' (not Kaldi style) as would be required. Any pointer on the training part would be helpful./Tirthankar.
Here is my experiment but this is giving error on epoch 1 training.
timit_train_espnet2.md
- Dominant language
- Jupyter Notebook
- Stars
- 72
- Forks
- 43
- Avg merge
- 4h 34m
- Merged PRs (30d)
- 11
Getting set up
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First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
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