README.md

@@ -1,18 +0,0 @@
-### 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)` to create the fixed index of the dataset generated
-* `generate_sppas_trans(OUTPUT_NAME)` creates the SPPAS transcription(wav+txt) data
-* `$ (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.
-* `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.

speech_samplegen.py

@@ -216,9 +216,6 @@ def generate_audio_for_text_list(text_list):
     closer()
 
 def generate_audio_for_stories():
-    '''
-    Generates the audio sample variants for the list of words in the stories
-    '''
     # story_file = './inputs/all_stories_hs.json'
     story_file = './inputs/all_stories.json'
     stories_data = json.load(open(story_file))
@@ -228,10 +225,6 @@ def generate_audio_for_stories():
     generate_audio_for_text_list(text_list)
 
 def generate_test_audio_for_stories(sample_count=0):
-    '''
-    Picks a list of words from the wordlist that are not in story words
-    and generates the variants
-    '''
     story_file = './inputs/all_stories_hs.json'
     # story_file = './inputs/all_stories.json'
     stories_data = json.load(open(story_file))