Skip to content

Commit

Permalink
Update datafiles.md
Browse files Browse the repository at this point in the history
  • Loading branch information
gchrupala authored Dec 11, 2019
1 parent 9ea106d commit ac86f8b
Showing 1 changed file with 8 additions and 40 deletions.
48 changes: 8 additions & 40 deletions platalea/analysis/datafiles.md
Original file line number Diff line number Diff line change
Expand Up @@ -6,49 +6,17 @@ For analyzing the VGS model we are using the data files described below. For eac
```
global_input.pkl
{'audio_id': <class 'numpy.ndarray'>,
'ipa': <class 'numpy.ndarray'>,
'text': <class 'numpy.ndarray'>,
'audio': <class 'numpy.ndarray'>}
'audio': <class 'numpy.ndarray'>,
'text': <class 'numpy.ndarray'>}
global_trained.pkl
{'conv': <class 'numpy.ndarray'>,
'rnn0': <class 'numpy.ndarray'>,
'rnn1': <class 'numpy.ndarray'>,
'rnn2': <class 'numpy.ndarray'>,
'rnn3': <class 'numpy.ndarray'>,
'att': <class 'numpy.ndarray'>}
global_trained_LAYER.pkl
{'LAYER': <class 'numpy.ndarray'> }
global_random.pkl
{'conv': <class 'numpy.ndarray'>,
'rnn0': <class 'numpy.ndarray'>,
'rnn1': <class 'numpy.ndarray'>,
'rnn2': <class 'numpy.ndarray'>,
'rnn3': <class 'numpy.ndarray'>,
'att': <class 'numpy.ndarray'>}
```

## Local

```
local_input.pkl
{'features': <class 'numpy.ndarray'>, 'labels': <class 'numpy.ndarray'>}
global_random_LAYER.pkl
{'LAYER': <class 'numpy.ndarray'> }
local_trained.pkl
{'conv': {'features': <class 'numpy.ndarray'>, 'labels': <class 'numpy.ndarray'>},
'rnn0': {'features': <class 'numpy.ndarray'>, 'labels': <class 'numpy.ndarray'>},
'rnn1': {'features': <class 'numpy.ndarray'>, 'labels': <class 'numpy.ndarray'>},
'rnn2': {'features': <class 'numpy.ndarray'>, 'labels': <class 'numpy.ndarray'>},
'rnn3': {'features': <class 'numpy.ndarray'>, 'labels': <class 'numpy.ndarray'>}}
downsampling_factors.json
local_random.pkl
{'conv': {'features': <class 'numpy.ndarray'>, 'labels': <class 'numpy.ndarray'>},
'rnn0': {'features': <class 'numpy.ndarray'>, 'labels': <class 'numpy.ndarray'>},
'rnn1': {'features': <class 'numpy.ndarray'>, 'labels': <class 'numpy.ndarray'>},
'rnn2': {'features': <class 'numpy.ndarray'>, 'labels': <class 'numpy.ndarray'>},
'rnn3': {'features': <class 'numpy.ndarray'>, 'labels': <class 'numpy.ndarray'>}}
fa.json
```


In these dictionaries 'features' correspond to inputs or activations for a single frame or timestep. The 'labels' array contains the corresponding phoneme labels, based on forced alignment between input audio and its transcription. Note that in this dataset some utterances have been filtered out due to the force alignment failing.

0 comments on commit ac86f8b

Please sign in to comment.