19 lines
989 B
Markdown
19 lines
989 B
Markdown
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### Setup
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`. env/bin/activate` to activate the virtualenv.
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### Data Generation
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* update `OUTPUT_NAME` in *speech_samplegen.py* to create the dataset folder with the name
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* `python speech_samplegen.py` generates variants of audio samples
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### Data Preprocessing
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* `python speech_data.py` creates the training-testing data from the generated samples.
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* run `fix_csv(OUTPUT_NAME)` to create the fixed index of the dataset generated
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* `generate_sppas_trans(OUTPUT_NAME)` creates the SPPAS transcription(wav+txt) data
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* `$ (SPPAS_DIR)/bin/annotation.py -l eng -e csv --ipus --tok --phon --align --align -w ./outputs/OUTPUT_NAME/` creates the phoneme alignment csv files for all variants.
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* `create_seg_phonpair_tfrecords(OUTPUT_NAME)` creates the tfrecords files
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with the phoneme level pairs of right/wrong stresses
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### Training
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* `python speech_model.py` trains the model with the training data generated.
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* `train_siamese(OUTPUT_NAME)` trains the siamese model with the generated dataset.
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