/
phoneme_timestamping.py
executable file
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/
phoneme_timestamping.py
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#!/usr/bin/python3
from vosk import Model, KaldiRecognizer
import sys
import os
import wave
import json
import cn2an
from pypinyin import pinyin, lazy_pinyin, Style
#input
import re
import string
from zhon.hanzi import punctuation
# define punctuation
punctuations = '''!()-[]{};:'"\,<>./?@#$%^&*_~'''
input = sys.argv[1]
stripped_input = re.sub(r'[%s]+' %punctuation, '', input)
file_name = stripped_input[:10]
person = sys.argv[2]
fps = 30.0
# print('stripped_chn_punct', stripped_input)
stripped_eng_punct = ""
for char in stripped_input:
if char not in punctuations:
stripped_eng_punct = stripped_eng_punct + char
print('stripped_eng_punct', stripped_eng_punct)
# stripped = re.sub(r'[%s]+' %punctuation, '', stripped_eng_punct)
# print('stripped_chn_punct', stripped)
len_stripped=len(stripped_eng_punct)
print('len_stripped', len_stripped)
py_input=stripped_eng_punct
print('input', py_input)
words = stripped_eng_punct.split()
print('words', words)
text_file = open('./input_timestamp/{person}/{file_name}.txt'.format(person=person, file_name=file_name), "w")
wf = wave.open('./input_audio/{person}/{file_name}.wav'.format(person=person, file_name=file_name), "rb")
def digi_to_py(word):
digidict = {
'1': u'yi', '2': u'er', '3': u'san', '4': u'si', '5': u'wu',
'6': u'liu', '7': u'qi', '8': u'ba', '9': u'jiu', '0': u'ling'
}
patten = '([0-9]{1})'
for i in word:
if re.search(patten, i):
py = digidict[i]
word = word.replace(i, (py))
return word
if wf.getnchannels() != 1 or wf.getsampwidth() != 2 or wf.getcomptype() != "NONE":
print ("Audio file must be WAV format mono PCM.")
exit (1)
#https://github.com/alphacep/vosk-api/blob/37fbe1a52b274e980fba992af73991529e524568/python/example/test_text.py
if not os.path.exists("model"):
print ("Please download the model from https://github.com/alphacep/vosk-api/blob/master/doc/models.md and unpack as 'model' in the current folder.")
exit (1)
model = Model("model")
rec = KaldiRecognizer(model, wf.getframerate())
while True:
data = wf.readframes(1000000)
if len(data) == 0:
break
if rec.AcceptWaveform(data):
res =json.loads(rec.Result())
# print('res', res)
print('AcceptWaveform rec.Result.text', res['text'])
else:
print('rec.PartialResult', rec.PartialResult())
res = json.loads(rec.FinalResult())
print('rec.FinalResult', res['text'])
nc = len(res['result'])
print('input_word_length', nc)
i=0
for item in res['result']:
print('item', item)
st = item['start']
et = item['end']
step = (et-st)/2
tstamp=st + step
# print(tstamp, item['word'])
frame_idx = int(tstamp * fps + 0.5)
if i > len_stripped-1:
break
n = text_file.write(str(frame_idx) + ' ' + words[i] + '\n')
print(str(frame_idx), words[i], i)
i=i+1
# for idx in range(nc):
# tstamp=st + step * (idx + 1)
# print(tstamp, py[idx])
# frame_idx = int(tstamp * fps + 0.5)
# #no number, only chinese input
# # n = text_file.write(str(frame_idx) + ' ' + py_input[i] + '\n')
# # print(str(frame_idx), py_input[i], 'py_input[i]')
# # i=i+1
# if i > len_stripped-1:
# break
# # if py_input[i].isnumeric():
# # # output = cn2an.an2cn(py_input[i], "low")
# # # print('to_chn', output)
# # len_digit= len(py_input[i])
# # # print('isdigit', py_input[i], 'len', len_digit, 'j', j)
# # if j<len_digit:
# # # print('digit', py_input[i][0])
# # # print(list(py_input[i]))
# # # digit_cn= cn2an.an2cn(py_input[i][j], "low")
# # # print(str(frame_idx), py_input[i][j], 'py_input[i][j]', i)
# # py_digit_cn = digi_to_py(py_input[i][j])
# # n = text_file.write(str(frame_idx) + ' ' + py_digit_cn + '\n')
# # print(str(frame_idx), py_digit_cn, 'py_digit_cn', i)
# # digit = int(py_input[i])
# # j=j+1
# # else:
# # j=0
# # i=i+1
# # else:
# n = text_file.write(str(frame_idx) + ' ' + py_input[i] + '\n')
# print(str(frame_idx), py_input[i], 'input', i)
# i=i+1
text_file.close()