#!/usr/bin/env python """ Usage: align.py wavfile trsfile outwordfile outphonefile """ import multiprocessing as mp import os import sys from tqdm import tqdm PHONEME = 'tools/aligner/english_envir/english2phoneme/phoneme' MODEL_DIR_EN = 'tools/aligner/english' MODEL_DIR_ZH = 'tools/aligner/mandarin' HVITE = 'tools/htk/HTKTools/HVite' HCOPY = 'tools/htk/HTKTools/HCopy' def prep_txt_zh(line: str, tmpbase: str, dictfile: str): words = [] line = line.strip() for pun in [ ',', '.', ':', ';', '!', '?', '"', '(', ')', '--', '---', u',', u'。', u':', u';', u'!', u'?', u'(', u')' ]: line = line.replace(pun, ' ') for wrd in line.split(): if (wrd[-1] == '-'): wrd = wrd[:-1] if (wrd[0] == "'"): wrd = wrd[1:] if wrd: words.append(wrd) ds = set([]) with open(dictfile, 'r') as fid: for line in fid: ds.add(line.split()[0]) unk_words = set([]) with open(tmpbase + '.txt', 'w') as fwid: for wrd in words: if (wrd not in ds): unk_words.add(wrd) fwid.write(wrd + ' ') fwid.write('\n') return unk_words def prep_txt_en(line: str, tmpbase, dictfile): words = [] line = line.strip() for pun in [',', '.', ':', ';', '!', '?', '"', '(', ')', '--', '---']: line = line.replace(pun, ' ') for wrd in line.split(): if (wrd[-1] == '-'): wrd = wrd[:-1] if (wrd[0] == "'"): wrd = wrd[1:] if wrd: words.append(wrd) ds = set([]) with open(dictfile, 'r') as fid: for line in fid: ds.add(line.split()[0]) unk_words = set([]) with open(tmpbase + '.txt', 'w') as fwid: for wrd in words: if (wrd.upper() not in ds): unk_words.add(wrd.upper()) fwid.write(wrd + ' ') fwid.write('\n') #generate pronounciations for unknows words using 'letter to sound' with open(tmpbase + '_unk.words', 'w') as fwid: for unk in unk_words: fwid.write(unk + '\n') try: os.system(PHONEME + ' ' + tmpbase + '_unk.words' + ' ' + tmpbase + '_unk.phons') except: print('english2phoneme error!') sys.exit(1) #add unknown words to the standard dictionary, generate a tmp dictionary for alignment fw = open(tmpbase + '.dict', 'w') with open(dictfile, 'r') as fid: for line in fid: fw.write(line) f = open(tmpbase + '_unk.words', 'r') lines1 = f.readlines() f.close() f = open(tmpbase + '_unk.phons', 'r') lines2 = f.readlines() f.close() for i in range(len(lines1)): wrd = lines1[i].replace('\n', '') phons = lines2[i].replace('\n', '').replace(' ', '') seq = [] j = 0 while (j < len(phons)): if (phons[j] > 'Z'): if (phons[j] == 'j'): seq.append('JH') elif (phons[j] == 'h'): seq.append('HH') else: seq.append(phons[j].upper()) j += 1 else: p = phons[j:j + 2] if (p == 'WH'): seq.append('W') elif (p in ['TH', 'SH', 'HH', 'DH', 'CH', 'ZH', 'NG']): seq.append(p) elif (p == 'AX'): seq.append('AH0') else: seq.append(p + '1') j += 2 fw.write(wrd + ' ') for s in seq: fw.write(' ' + s) fw.write('\n') fw.close() def prep_mlf(txt: str, tmpbase: str): with open(tmpbase + '.mlf', 'w') as fwid: fwid.write('#!MLF!#\n') fwid.write('"' + tmpbase + '.lab"\n') fwid.write('sp\n') wrds = txt.split() for wrd in wrds: fwid.write(wrd.upper() + '\n') fwid.write('sp\n') fwid.write('.\n') def _get_user(): return os.path.expanduser('~').split("/")[-1] def alignment(wav_path: str, text: str): tmpbase = '/tmp/' + _get_user() + '_' + str(os.getpid()) #prepare wav and trs files try: os.system('sox ' + wav_path + ' -r 16000 ' + tmpbase + '.wav remix -') except: print('sox error!') return None #prepare clean_transcript file try: prep_txt_en(text, tmpbase, MODEL_DIR_EN + '/dict') except: print('prep_txt error!') return None #prepare mlf file try: with open(tmpbase + '.txt', 'r') as fid: txt = fid.readline() prep_mlf(txt, tmpbase) except: print('prep_mlf error!') return None #prepare scp try: os.system(HCOPY + ' -C ' + MODEL_DIR_EN + '/16000/config ' + tmpbase + '.wav' + ' ' + tmpbase + '.plp') except: print('HCopy error!') return None #run alignment try: os.system(HVITE + ' -a -m -t 10000.0 10000.0 100000.0 -I ' + tmpbase + '.mlf -H ' + MODEL_DIR_EN + '/16000/macros -H ' + MODEL_DIR_EN + '/16000/hmmdefs -i ' + tmpbase + '.aligned ' + tmpbase + '.dict ' + MODEL_DIR_EN + '/monophones ' + tmpbase + '.plp 2>&1 > /dev/null') except: print('HVite error!') return None with open(tmpbase + '.txt', 'r') as fid: words = fid.readline().strip().split() words = txt.strip().split() words.reverse() with open(tmpbase + '.aligned', 'r') as fid: lines = fid.readlines() i = 2 times2 = [] word2phns = {} current_word = '' index = 0 while (i < len(lines)): splited_line = lines[i].strip().split() if (len(splited_line) >= 4) and (splited_line[0] != splited_line[1]): phn = splited_line[2] pst = (int(splited_line[0]) / 1000 + 125) / 10000 pen = (int(splited_line[1]) / 1000 + 125) / 10000 times2.append([phn, pst, pen]) # splited_line[-1]!='sp' if len(splited_line) == 5: current_word = str(index) + '_' + splited_line[-1] word2phns[current_word] = phn index += 1 elif len(splited_line) == 4: word2phns[current_word] += ' ' + phn i += 1 return times2, word2phns def alignment_zh(wav_path, text_string): tmpbase = '/tmp/' + _get_user() + '_' + str(os.getpid()) #prepare wav and trs files try: os.system('sox ' + wav_path + ' -r 16000 -b 16 ' + tmpbase + '.wav remix -') except: print('sox error!') return None #prepare clean_transcript file try: unk_words = prep_txt_zh(text_string, tmpbase, MODEL_DIR_ZH + '/dict') if unk_words: print('Error! Please add the following words to dictionary:') for unk in unk_words: print("非法words: ", unk) except: print('prep_txt error!') return None #prepare mlf file try: with open(tmpbase + '.txt', 'r') as fid: txt = fid.readline() prep_mlf(txt, tmpbase) except: print('prep_mlf error!') return None #prepare scp try: os.system(HCOPY + ' -C ' + MODEL_DIR_ZH + '/16000/config ' + tmpbase + '.wav' + ' ' + tmpbase + '.plp') except: print('HCopy error!') return None #run alignment try: os.system(HVITE + ' -a -m -t 10000.0 10000.0 100000.0 -I ' + tmpbase + '.mlf -H ' + MODEL_DIR_ZH + '/16000/macros -H ' + MODEL_DIR_ZH + '/16000/hmmdefs -i ' + tmpbase + '.aligned ' + MODEL_DIR_ZH + '/dict ' + MODEL_DIR_ZH + '/monophones ' + tmpbase + '.plp 2>&1 > /dev/null') except: print('HVite error!') return None with open(tmpbase + '.txt', 'r') as fid: words = fid.readline().strip().split() words = txt.strip().split() words.reverse() with open(tmpbase + '.aligned', 'r') as fid: lines = fid.readlines() i = 2 times2 = [] word2phns = {} current_word = '' index = 0 while (i < len(lines)): splited_line = lines[i].strip().split() if (len(splited_line) >= 4) and (splited_line[0] != splited_line[1]): phn = splited_line[2] pst = (int(splited_line[0]) / 1000 + 125) / 10000 pen = (int(splited_line[1]) / 1000 + 125) / 10000 times2.append([phn, pst, pen]) # splited_line[-1]!='sp' if len(splited_line) == 5: current_word = str(index) + '_' + splited_line[-1] word2phns[current_word] = phn index += 1 elif len(splited_line) == 4: word2phns[current_word] += ' ' + phn i += 1 return times2, word2phns