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speech-scoring
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implemeted test data sample generation

master
Malar Kannan 2017-11-07 10:23:31 +05:30
parent 5b682c78b8
commit 33c6bcc3c1
1 changed files with 18 additions and 3 deletions
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tts_samplegen.py
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@ -12,7 +12,7 @@ import progressbar
from generate_similar import similar_phoneme_phrase,similar_phrase
OUTPUT_NAME = 'story_all'
OUTPUT_NAME = 'story_words_test'
dest_dir = os.path.abspath('.') + '/outputs/' + OUTPUT_NAME + '/'
dest_file = './outputs/' + OUTPUT_NAME + '.csv'
@ -239,10 +239,25 @@ def generate_audio_for_stories():
# story_file = './inputs/all_stories_hs.json'
story_file = './inputs/all_stories.json'
stories_data = json.load(open(story_file))
# word_list = [t[0] for i in stories_data.values() for t in i]
# text_list = [t[0] for i in stories_data.values() for t in i]
text_list = [i.replace('-','') for g in stories_data.values() for i in g]
generate_audio_for_text_list(text_list)
def generate_test_audio_for_stories():
story_file = './inputs/all_stories_hs.json'
# story_file = './inputs/all_stories.json'
stories_data = json.load(open(story_file))
text_list = [t[0] for i in stories_data.values() for t in i]
# text_list = [i.replace('-','') for g in stories_data.values() for i in g]
word_list = [i.strip('\n_') for i in open('./inputs/wordlist.txt','r').readlines()]
text_set = set(text_list)
new_word_list = [i for i in word_list if i not in text_set and len(i) > 4]
# len(new_word_list)
test_words = new_word_list[:int(len(text_list)/5+1)]
generate_audio_for_text_list(test_words)
if __name__ == '__main__':
generate_test_audio_for_stories()
# generate_audio_for_text_list(['I want to go home','education'])
generate_audio_for_stories()
# generate_audio_for_stories()