def convert(args):
"""
Looks for .wav files and transcription logs under the `args.infname'
directory. Copies .wav files and their transcriptions linked from the log
to `args.outdir' using the `extract_wavs_trns' function. `args.dictionary'
may refer to an open file listing the only words to be allowed in
transcriptions in the first whitespace-separated column.
Returns a tuple of:
number of collisions (files at different paths with same basename)
number of overwrites (files with the same basename as previously
present in `args.outdir')
number of ignored files (file basenames referred in transcription logs
but missing in the file system, presumably
because specified by one of the ignoring
mechanisms)
"""
# Unpack the arguments.
infname = args.infname
outdir = args.outdir
lang = args.language
verbose = args.verbose
ignore_list_file = args.ignore
dict_file = args.dictionary
# Read in the dictionary.
if dict_file:
known_words = set(line.split()[0] for line in dict_file)
dict_file.close()
else:
known_words = None
# Find wavs.
wav_paths = find_wavs(infname, ignore_list_file=ignore_list_file)
# Map file basenames to their relative paths -- NOTE this can be
# destructive if multiple files have the same basename.
# Wav_mapping: wav basename -> path to call log dir
swapped = [os.path.split(fpath) for fpath in wav_paths]
wav_mapping = {name: prefix for (prefix, name) in swapped}
n_collisions = len(wav_paths) - len(wav_mapping)
# Get all transcription logs.
n_notnorm_trss = 0
n_missing_trss = 0
# XXX ???
# path session file name created from call log dir
sess_fnames = dict()
# Call dir == prefix
for prefix in wav_mapping.itervalues():
norm_fname = os.path.join(prefix, 'asr_transcribed.xml')
if os.path.isfile(norm_fname):
sess_fnames[prefix] = norm_fname
else:
basic_fname = os.path.join(prefix, 'session.xml')
if os.path.isfile(basic_fname):
n_notnorm_trss += 1
else:
n_missing_trss += 1
# trn_paths = find(infname, 'user-transcription.norm.xml')
print ""
print "Number of sessions: ", len(sess_fnames)
print "Number of untranscribed sessions: ", n_notnorm_trss
print "Number of missing sessions: ", n_missing_trss
print ""
# Copy files referred in the transcription logs to `outdir'.
size = 0
n_overwrites = 0
n_missing_wav = 0
n_missing_trs = 0
# for trn_path in trn_paths:
for prefix, call_log in sess_fnames.iteritems():
if verbose:
print "Processing call log dir:", prefix
cursize, cur_n_overwrites, cur_n_missing_wav, cur_n_missing_trs = \
extract_wavs_trns(prefix, call_log, outdir, wav_mapping, known_words, lang, verbose)
size += cursize
n_overwrites += cur_n_overwrites
n_missing_wav += cur_n_missing_wav
n_missing_trs += cur_n_missing_trs
# Print statistics.
print "Size of copied audio data:", size
sec = size / (16000 * 2)
hour = sec / 3600.0
print "Length of audio data in hours (for 16kHz 16b WAVs):", hour
# Return the number of file collisions and overwrites.
return n_collisions, n_overwrites, n_missing_wav, n_missing_trs
def convert(args):
"""
Looks for .wav files and transcription logs under the `args.infname'
directory. Copies .wav files and their transcriptions linked from the log
to `args.outdir' using the `extract_wavs_trns' function. `args.dictionary'
may refer to an open file listing the only words to be allowed in
transcriptions in the first whitespace-separated column.
Returns a tuple of:
number of collisions (files at different paths with same basename)
number of overwrites (files with the same basename as previously
present in `args.outdir')
number of ignored files (file basenames referred in transcription logs
but missing in the file system, presumably
because specified by one of the ignoring
mechanisms)
"""
# Unpack the arguments.
infname = args.infname
outdir = args.outdir
verbose = args.verbose
ignore_list_file = args.ignore
dict_file = args.dictionary
# Read in the dictionary.
if dict_file:
known_words = set(line.split()[0] for line in dict_file)
dict_file.close()
else:
known_words = None
# Find wavs.
wav_paths = find_wavs(infname, ignore_list_file=ignore_list_file)
# Map file basenames to their relative paths -- NOTE this can be
# destructive if multiple files have the same basename.
# Wav_mapping: wav basename -> path to call log dir
swapped = [os.path.split(fpath) for fpath in wav_paths]
wav_mapping = {name: prefix for (prefix, name) in swapped}
n_collisions = len(wav_paths) - len(wav_mapping)
# XXX Obsoleted since this should now be done by the `find_wavs' function
# itself. Yes, it does not match basenames but whole paths, still it
# should work because all paths are normalised and absolutised.
#
# # Get basename for ignore files and we do NOT care about collisions
# # ignore_wav_mapping: wav basename -> path to call log dir
# swapped = [os.path.split(fpath) for fpath in ignore_wav_paths]
# ignore_wav_mapping = dict([(name, prefix) for (prefix, name) in swapped])
#
# # Delete ignore basenames from wav_mapping (if any pass through
# # ignore_paths and globs)
# for ignore_basename, ignore_prefix in ignore_wav_mapping.iteritems():
# if ignore_basename in wav_mapping:
# if verbose:
# ignore_path = os.path.join(ignore_prefix, ignore_basename)
# print 'Wav file SKIPPED:', ignore_path
# # Removing the ignore_basename from wav_mapping
# del wav_mapping[ignore_basename]
# Get all transcription logs.
n_notnorm_trss = 0
n_missing_trss = 0
# XXX ???
# path session file name created from call log dir
sess_fnames = dict()
# Call dir == prefix
for prefix in wav_mapping.itervalues():
norm_fname = os.path.join(prefix, 'user-transcription.norm.xml')
if os.path.isfile(norm_fname):
sess_fnames[prefix] = norm_fname
else:
basic_fname = os.path.join(prefix, 'user-transcription.xml')
if os.path.isfile(basic_fname):
sess_fnames[prefix] = basic_fname
n_notnorm_trss += 1
else:
basic_fname = os.path.join(prefix,
'user-transcription-all.xml')
if os.path.isfile(basic_fname):
sess_fnames[prefix] = basic_fname
n_notnorm_trss += 1
else:
n_missing_trss += 1
# trn_paths = find(infname, 'user-transcription.norm.xml')
print ""
print "Number of sessions :", len(sess_fnames)
print "Number of unnormalised transcriptions:", n_notnorm_trss
print "Number of missing transcriptions :", n_missing_trss
print ""
# Copy files referred in the transcription logs to `outdir'.
size = 0
n_overwrites = 0
n_missing_wav = 0
n_missing_trs = 0
# for trn_path in trn_paths:
for prefix, call_log in sess_fnames.iteritems():
if verbose:
print "Processing call log dir:", prefix
print " session file name: ", call_log
cursize, cur_n_overwrites, cur_n_missing_wav, cur_n_missing_trs = \
extract_wavs_trns(prefix, call_log, outdir, wav_mapping, known_words, verbose)
size += cursize
n_overwrites += cur_n_overwrites
n_missing_wav += cur_n_missing_wav
n_missing_trs += cur_n_missing_trs
# Print statistics.
print "Size of copied audio data:", size
sec = size / (16000 * 2)
hour = sec / 3600.0
print "Length of audio data in hours (for 16kHz 16b WAVs):", hour
# Return the number of file collisions and overwrites.
return n_collisions, n_overwrites, n_missing_wav, n_missing_trs
def convert(args):
"""
Looks for .wav files and transcription logs under the `args.infname'
directory. Copies .wav files and their transcriptions linked from the log
to `args.outdir' using the `extract_wavs_trns' function. `args.dictionary'
may refer to an open file listing the only words to be allowed in
transcriptions in the first whitespace-separated column.
Returns a tuple of:
number of collisions (files at different paths with same basename)
number of overwrites (files with the same basename as previously
present in `args.outdir')
number of ignored files (file basenames referred in transcription logs
but missing in the file system, presumably
because specified by one of the ignoring
mechanisms)
"""
# Unpack the arguments.
infname = args.infname
outdir = args.outdir
lang = args.language
verbose = args.verbose
ignore_list_file = args.ignore
dict_file = args.dictionary
# Read in the dictionary.
if dict_file:
known_words = set(line.split()[0] for line in dict_file)
dict_file.close()
else:
known_words = None
# Find wavs.
wav_paths = find_wavs(infname, ignore_list_file=ignore_list_file)
# Map file basenames to their relative paths -- NOTE this can be
# destructive if multiple files have the same basename.
# Wav_mapping: wav basename -> path to call log dir
swapped = [os.path.split(fpath) for fpath in wav_paths]
wav_mapping = {name: prefix for (prefix, name) in swapped}
n_collisions = len(wav_paths) - len(wav_mapping)
# Get all transcription logs.
n_notnorm_trss = 0
n_missing_trss = 0
# XXX ???
# path session file name created from call log dir
sess_fnames = dict()
# Call dir == prefix
for prefix in wav_mapping.itervalues():
norm_fname = os.path.join(prefix, 'asr_transcribed.xml')
if os.path.isfile(norm_fname):
sess_fnames[prefix] = norm_fname
else:
basic_fname = os.path.join(prefix, 'session.xml')
if os.path.isfile(basic_fname):
n_notnorm_trss += 1
else:
n_missing_trss += 1
# trn_paths = find(infname, 'user-transcription.norm.xml')
print ""
print "Number of sessions: ", len(sess_fnames)
print "Number of untranscribed sessions: ", n_notnorm_trss
print "Number of missing sessions: ", n_missing_trss
print ""
# Copy files referred in the transcription logs to `outdir'.
size = 0
n_overwrites = 0
n_missing_wav = 0
n_missing_trs = 0
# for trn_path in trn_paths:
for prefix, call_log in sess_fnames.iteritems():
if verbose:
print "Processing call log dir:", prefix
cursize, cur_n_overwrites, cur_n_missing_wav, cur_n_missing_trs = \
extract_wavs_trns(prefix, call_log, outdir, wav_mapping, known_words, lang, verbose)
size += cursize
n_overwrites += cur_n_overwrites
n_missing_wav += cur_n_missing_wav
n_missing_trs += cur_n_missing_trs
# Print statistics.
print "Size of copied audio data:", size
sec = size / (16000 * 2)
hour = sec / 3600.0
print "Length of audio data in hours (for 16kHz 16b WAVs):", hour
# Return the number of file collisions and overwrites.
return n_collisions, n_overwrites, n_missing_wav, n_missing_trs
def convert(args):
"""
Looks for .wav files and transcription logs under the `args.infname'
directory. Copies .wav files and their transcriptions linked from the log
to `args.outdir' using the `extract_wavs_trns' function. `args.dictionary'
may refer to an open file listing the only words to be allowed in
transcriptions in the first whitespace-separated column.
Returns a tuple of:
number of collisions (files at different paths with same basename)
number of overwrites (files with the same basename as previously
present in `args.outdir')
number of ignored files (file basenames referred in transcription logs
but missing in the file system, presumably
because specified by one of the ignoring
mechanisms)
"""
# Unpack the arguments.
infname = args.infname
outdir = args.outdir
verbose = args.verbose
ignore_list_file = args.ignore
dict_file = args.dictionary
# Read in the dictionary.
if dict_file:
known_words = set(line.split()[0] for line in dict_file)
dict_file.close()
else:
known_words = None
# Find wavs.
wav_paths = find_wavs(infname, ignore_list_file=ignore_list_file)
# Map file basenames to their relative paths -- NOTE this can be
# destructive if multiple files have the same basename.
# Wav_mapping: wav basename -> path to call log dir
swapped = [os.path.split(fpath) for fpath in wav_paths]
wav_mapping = {name: prefix for (prefix, name) in swapped}
n_collisions = len(wav_paths) - len(wav_mapping)
# XXX Obsoleted since this should now be done by the `find_wavs' function
# itself. Yes, it does not match basenames but whole paths, still it
# should work because all paths are normalised and absolutised.
#
# # Get basename for ignore files and we do NOT care about collisions
# # ignore_wav_mapping: wav basename -> path to call log dir
# swapped = [os.path.split(fpath) for fpath in ignore_wav_paths]
# ignore_wav_mapping = dict([(name, prefix) for (prefix, name) in swapped])
#
# # Delete ignore basenames from wav_mapping (if any pass through
# # ignore_paths and globs)
# for ignore_basename, ignore_prefix in ignore_wav_mapping.iteritems():
# if ignore_basename in wav_mapping:
# if verbose:
# ignore_path = os.path.join(ignore_prefix, ignore_basename)
# print 'Wav file SKIPPED:', ignore_path
# # Removing the ignore_basename from wav_mapping
# del wav_mapping[ignore_basename]
# Get all transcription logs.
n_notnorm_trss = 0
n_missing_trss = 0
# XXX ???
# path session file name created from call log dir
sess_fnames = dict()
# Call dir == prefix
for prefix in wav_mapping.itervalues():
norm_fname = os.path.join(prefix, 'user-transcription.norm.xml')
if os.path.isfile(norm_fname):
sess_fnames[prefix] = norm_fname
else:
basic_fname = os.path.join(prefix, 'user-transcription.xml')
if os.path.isfile(basic_fname):
sess_fnames[prefix] = basic_fname
n_notnorm_trss += 1
else:
basic_fname = os.path.join(prefix,
'user-transcription-all.xml')
if os.path.isfile(basic_fname):
sess_fnames[prefix] = basic_fname
n_notnorm_trss += 1
else:
n_missing_trss += 1
# trn_paths = find(infname, 'user-transcription.norm.xml')
print ""
print "Number of sessions :", len(sess_fnames)
print "Number of unnormalised transcriptions:", n_notnorm_trss
print "Number of missing transcriptions :", n_missing_trss
print ""
# Copy files referred in the transcription logs to `outdir'.
size = 0
n_overwrites = 0
n_missing_wav = 0
n_missing_trs = 0
# for trn_path in trn_paths:
for prefix, call_log in sess_fnames.iteritems():
if verbose:
print "Processing call log dir:", prefix
print " session file name: ", call_log
cursize, cur_n_overwrites, cur_n_missing_wav, cur_n_missing_trs = \
extract_wavs_trns(prefix, call_log, outdir, wav_mapping, known_words, verbose)
size += cursize
n_overwrites += cur_n_overwrites
n_missing_wav += cur_n_missing_wav
n_missing_trs += cur_n_missing_trs
# Print statistics.
print "Size of copied audio data:", size
sec = size / (16000 * 2)
hour = sec / 3600.0
print "Length of audio data in hours (for 16kHz 16b WAVs):", hour
# Return the number of file collisions and overwrites.
return n_collisions, n_overwrites, n_missing_wav, n_missing_trs
