24 lines
1.3 KiB
Markdown
24 lines
1.3 KiB
Markdown
### Setup
|
|
`. env/bin/activate` to activate the virtualenv.
|
|
|
|
### Data Generation
|
|
* update `OUTPUT_NAME` in *speech_samplegen.py* to create the dataset folder with the name
|
|
* `python speech_samplegen.py` generates variants of audio samples
|
|
|
|
### Data Preprocessing
|
|
* `python speech_data.py` creates the training-testing data from the generated samples.
|
|
* run `fix_csv(OUTPUT_NAME)` once to create the fixed index of the dataset generated
|
|
* run `generate_sppas_trans(OUTPUT_NAME)` once to create the SPPAS transcription(wav+txt) data
|
|
* run `$ (SPPAS_DIR)/bin/annotation.py -l eng -e csv --ipus --tok --phon --align --align -w ./outputs/OUTPUT_NAME/` once to create the phoneme alignment csv files for all variants.
|
|
* `create_seg_phonpair_tfrecords(OUTPUT_NAME)` creates the tfrecords files
|
|
with the phoneme level pairs of right/wrong stresses
|
|
|
|
### Training
|
|
* `python speech_model.py` trains the model with the training data generated.
|
|
* `train_siamese(OUTPUT_NAME)` trains the siamese model with the generated dataset.
|
|
|
|
### Testing
|
|
* `python speech_test.py` tests the trained model with the test dataset
|
|
* `evaluate_siamese(TEST_RECORD_FILE,audio_group=OUTPUT_NAME,weights = WEIGHTS_FILE_NAME)`
|
|
the TEST_RECORD_FILE will be under outputs directory and WEIGHTS_FILE_NAME will be under the models directory, pick the most recent weights file.
|