0e541f5b5d
We are using multiple machines to do various experiments. It makes life easier to know which experiment is running on which machine if we also log the IP and hostname of the machine.
Installation
Please refer to https://icefall.readthedocs.io/en/latest/installation/index.html for installation.
Recipes
Please refer to https://icefall.readthedocs.io/en/latest/recipes/index.html for more information.
We provide four recipes at present:
yesno
This is the simplest ASR recipe in icefall and can be run on CPU.
Training takes less than 30 seconds and gives you the following WER:
[test_set] %WER 0.42% [1 / 240, 0 ins, 1 del, 0 sub ]
We do provide a Colab notebook for this recipe.
LibriSpeech
We provide two models for this recipe: conformer CTC model and TDNN LSTM CTC model.
Conformer CTC Model
The best WER we currently have is:
| test-clean | test-other | |
|---|---|---|
| WER | 2.42 | 5.73 |
We provide a Colab notebook to run a pre-trained conformer CTC model:
TDNN LSTM CTC Model
The WER for this model is:
| test-clean | test-other | |
|---|---|---|
| WER | 6.59 | 17.69 |
We provide a Colab notebook to run a pre-trained TDNN LSTM CTC model:
Aishell
We provide two models for this recipe: conformer CTC model and TDNN LSTM CTC model.
Conformer CTC Model
The best CER we currently have is:
| test | |
|---|---|
| CER | 4.26 |
We provide a Colab notebook to run a pre-trained conformer CTC model:
TDNN LSTM CTC Model
The CER for this model is:
| test | |
|---|---|
| CER | 10.16 |
We provide a Colab notebook to run a pre-trained TDNN LSTM CTC model:
TIMIT
We provide two models for this recipe: TDNN LSTM CTC model and TDNN LiGRU CTC model.
TDNN LSTM CTC Model
The best PER we currently have is:
| TEST | |
|---|---|
| PER | 19.71% |
We provide a Colab notebook to run a pre-trained TDNN LSTM CTC model:
TDNN LiGRU CTC Model
The PER for this model is:
| TEST | |
|---|---|
| PER | 17.66% |
We provide a Colab notebook to run a pre-trained TDNN LiGRU CTC model:
Deployment with C++
Once you have trained a model in icefall, you may want to deploy it with C++, without Python dependencies.
Please refer to the documentation https://icefall.readthedocs.io/en/latest/recipes/librispeech/conformer_ctc.html#deployment-with-c for how to do this.
We also provide a Colab notebook, showing you how to run a torch scripted model in k2 with C++.
Please see: