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speech-scoring
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generating segmentation for words

master
Malar Kannan 2017-12-28 13:37:27 +05:30
parent f44665e9b2
commit 0600482fe5
1 changed files with 9 additions and 3 deletions
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12
speech_segmentgen.py
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@ -57,7 +57,8 @@ class Delegate (NSObject):
'''Called automatically when the application has launched''' '''Called automatically when the application has launched'''
print("App Launched!") print("App Launched!")
# phrases = story_texts()#random.sample(story_texts(), 100) # # phrases = story_texts()#random.sample(story_texts(), 100) #
phrases = test_texts(30) # phrases = test_texts(30)
phrases = story_words()
# print(phrases) # print(phrases)
generate_audio(phrases) generate_audio(phrases)
@ -174,14 +175,19 @@ class SynthesizerQueue(object):
def story_texts(): def story_texts():
# story_file = './inputs/all_stories_hs.json'
story_file = './inputs/all_stories.json' story_file = './inputs/all_stories.json'
stories_data = json.load(open(story_file)) stories_data = json.load(open(story_file))
# text_list_dup = [t[0] for i in stories_data.values() for t in i]
text_list_dup = [t for i in stories_data.values() for t in i] text_list_dup = [t for i in stories_data.values() for t in i]
text_list = sorted(list(set(text_list_dup))) text_list = sorted(list(set(text_list_dup)))
return text_list return text_list
def story_words():
story_file = './inputs/all_stories_hs.json'
stories_data = json.load(open(story_file))
text_list_dup = [t[0] for i in stories_data.values() for t in i]
text_list = sorted(list(set(text_list_dup)))
return text_list
def test_texts(count=10): def test_texts(count=10):
word_list = [i.strip('\n_') for i in open('./inputs/wordlist.txt','r').readlines()] word_list = [i.strip('\n_') for i in open('./inputs/wordlist.txt','r').readlines()]
text_list = sorted(random.sample(list(set(word_list)),count)) text_list = sorted(random.sample(list(set(word_list)),count))