computing phoneme/word variant for each word in a phrase

master
Malar Kannan 2017-11-03 14:48:55 +05:30
parent b4ceeb4eed
commit 1f19463b65
2 changed files with 39 additions and 23 deletions

View File

@ -124,13 +124,18 @@ def parse_apple_phonemes(ph_str):
return []
def similar_phoneme(ph_str):
def similar_phoneme_word(ph_str):
phons = parse_apple_phonemes(ph_str)
vowels = [i for i in phons if i.vowel]
random.choice(vowels).adjust_stress()
return ''.join([str(i) for i in phons])
def similar_phoneme_phrase(ph_str):
return ' '.join([similar_phoneme_word(w) for w in ph_str.split()])
def similar_word(word_str):
similar = pronouncing.rhymes(word_str)
return random.choice(similar) if len(similar) > 0 else word_str
def similar_phrase(ph_str):
return ' '.join([similar_word(w) for w in ph_str.split()])

View File

@ -7,14 +7,20 @@ import random
import os
import re
import subprocess
import time
import progressbar
from generate_similar import similar_phoneme,similar_word
from generate_similar import similar_phoneme_phrase,similar_phrase
OUTPUT_NAME = 'rand_edu'
OUTPUT_NAME = 'go_home'
dest_dir = os.path.abspath('.') + '/outputs/' + OUTPUT_NAME + '/'
dest_file = './outputs/' + OUTPUT_NAME + '.csv'
def hms_string(sec_elapsed):
h = int(sec_elapsed / (60 * 60))
m = int((sec_elapsed % (60 * 60)) / 60)
s = sec_elapsed % 60.
return "{}:{:>02}:{:>05.2f}".format(h, m, s)
def prog_bar(title):
widgets = [title, progressbar.Counter(), 'th entry - ', progressbar.FormatLabel(
@ -104,28 +110,28 @@ class SynthVariant(object):
orig_phon = self.synth.phonemesFromText_('water')
return orig_phon != ''
def generate_audio(self, word, variant):
def generate_audio(self, text, variant):
orig_phon, phoneme, phon_cmd = self.synth.phonemesFromText_(
word), '', word
text), '', text
if variant == 'low':
# self.synth.startSpeakingString_toURL_(word,d_url)
phoneme = orig_phon
elif variant == 'medium':
phoneme = similar_phoneme(orig_phon)
phoneme = similar_phoneme_phrase(orig_phon)
phon_cmd = '[[inpt PHON]] ' + phoneme
elif variant == 'high':
phoneme = similar_word(word)
phoneme = similar_phrase(text)
phon_cmd = phoneme
# elif variant == 'long':
# if phon != '':
# self.phone_synth.startSpeakingString_toURL_(phon,d_url)
# else:
# self.synth.startSpeakingString_toURL_(word,d_url)
fname = dest_filename(word, self.name, self.rate, variant)
fname = dest_filename(text, self.name, self.rate, variant)
d_path, r_path = dest_path(self.name, self.rate, fname)
# d_url = NSURL.fileURLWithPath_(d_path)
cli_gen_audio(phon_cmd, self.rate, self.name, d_path)
return SynthFile(word, phoneme, r_path, self.name, self.lang, self.rate, variant)
return SynthFile(text, phoneme, r_path, self.name, self.lang, self.rate, variant)
def create_synth_dirs(self):
if self.phoneme_capable:
@ -170,6 +176,7 @@ def synth_generator():
print('Discarding phoneme incapable ', s)
def synth_for_words(words, writer):
start_time = time.time()
prog_title = "Synthesizing {} words : ".format(len(words))
for s in voice_synths:
s.create_synth_dirs()
@ -179,6 +186,9 @@ def synth_generator():
update('"{}" with {} variant ({})'.format(w, s, v))
synthed = s.generate_audio(w, v)
writer(synthed)
end_time = time.time()
time_str = hms_string(end_time - start_time)
print("It took {} to synthsize all variants.".format(time_str))
return synth_for_words
@ -215,9 +225,9 @@ def synth_logger(fname, csv=False):
def generate_audio_for_text_list(text_list):
(writer, closer) = synth_logger(dest_file, csv=True)
synth_for_words = synth_generator()
synth_for_texts = synth_generator()
try:
synth_for_words(text_list, writer)
synth_for_texts(text_list, writer)
except:
import traceback
import sys
@ -230,18 +240,19 @@ def generate_audio_for_stories():
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]
word_list = [i for g in stories_data.values() for i in g]
(writer, closer) = synth_logger(dest_file, csv=True)
synth_for_words = synth_generator()
try:
synth_for_words(word_list, writer)
except:
import traceback
import sys
traceback.print_exc(file=sys.stdout)
pass
closer()
text_list = [i for g in stories_data.values() for i in g]
generate_audio_for_text_list(text_list)
# (writer, closer) = synth_logger(dest_file, csv=True)
# synth_for_words = synth_generator()
# try:
# synth_for_words(word_list, writer)
# except:
# import traceback
# import sys
# traceback.print_exc(file=sys.stdout)
# pass
# closer()
if __name__ == '__main__':
generate_audio_for_text_list(['random','education'])
generate_audio_for_text_list(['I want to go home','education'])
# generate_audio_for_stories()