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speech-scoring
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Merge branch 'master' of ssh://invmac/~/Public/repos/speech-scoring

master
Malar Kannan 2017-11-02 13:16:04 +05:30
parent d4454b6434 45977a819d
commit 6ab84b4dc2
1 changed files with 25 additions and 9 deletions
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34
tts_samplegen.py
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@ -11,7 +11,7 @@ import progressbar
from generate_similar import similar_phoneme,similar_word from generate_similar import similar_phoneme,similar_word
OUTPUT_NAME = 'story_words' OUTPUT_NAME = 'rand_edu'
dest_dir = os.path.abspath('.') + '/outputs/' + OUTPUT_NAME + '/' dest_dir = os.path.abspath('.') + '/outputs/' + OUTPUT_NAME + '/'
dest_file = './outputs/' + OUTPUT_NAME + '.csv' dest_file = './outputs/' + OUTPUT_NAME + '.csv'
@ -95,8 +95,7 @@ class SynthVariant(object):
self.name = voice self.name = voice
self.lang = lang self.lang = lang
self.phoneme_capable = self.is_phoneme_capable() self.phoneme_capable = self.is_phoneme_capable()
if self.phoneme_capable:
create_dir(dest_dir + self.name + '/' + str(self.rate))
def __repr__(self): def __repr__(self):
return 'Synthesizer[{} - {}]'.format(self.name, self.rate) return 'Synthesizer[{} - {}]'.format(self.name, self.rate)
@ -128,6 +127,10 @@ class SynthVariant(object):
cli_gen_audio(phon_cmd, self.rate, self.name, 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(word, phoneme, r_path, self.name, self.lang, self.rate, variant)
def create_synth_dirs(self):
if self.phoneme_capable:
create_dir(dest_dir + self.name + '/' + str(self.rate))
@staticmethod @staticmethod
def voices_for_lang(lang): def voices_for_lang(lang):
voices_installed = NSSpeechSynthesizer.availableVoices() voices_installed = NSSpeechSynthesizer.availableVoices()
@ -168,9 +171,10 @@ def synth_generator():
def synth_for_words(words, writer): def synth_for_words(words, writer):
prog_title = "Synthesizing {} words : ".format(len(words)) prog_title = "Synthesizing {} words : ".format(len(words))
(update, prog) = prog_bar(prog_title)
for s in voice_synths: for s in voice_synths:
s.create_synth_dirs()
for v in ['low', 'medium', 'high']: for v in ['low', 'medium', 'high']:
(update, prog) = prog_bar(prog_title)
for w in prog(words): for w in prog(words):
update('"{}" with {} variant ({})'.format(w, s, v)) update('"{}" with {} variant ({})'.format(w, s, v))
synthed = s.generate_audio(w, v) synthed = s.generate_audio(w, v)
@ -209,13 +213,24 @@ def synth_logger(fname, csv=False):
else: else:
return json_writer, close_file return json_writer, close_file
def generate_audio_for_text_list(text_list):
(writer, closer) = synth_logger(dest_file, csv=True)
synth_for_words = synth_generator()
try:
synth_for_words(text_list, writer)
except:
import traceback
import sys
traceback.print_exc(file=sys.stdout)
pass
closer()
def generate_audio_for_stories(): def generate_audio_for_stories():
story_file = './inputs/all_stories_hs.json' # 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))
word_list = [t[0] for i in stories_data.values() for t in i] # 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] word_list = [i for g in stories_data.values() for i in g]
(writer, closer) = synth_logger(dest_file, csv=True) (writer, closer) = synth_logger(dest_file, csv=True)
synth_for_words = synth_generator() synth_for_words = synth_generator()
try: try:
@ -228,4 +243,5 @@ def generate_audio_for_stories():
closer() closer()
if __name__ == '__main__': if __name__ == '__main__':
generate_audio_for_stories() generate_audio_for_text_list(['random','education'])
# generate_audio_for_stories()