def nlp(disc_clsdict, gold_clsdict, fragments_within, fragments_cross,
dest, verbose, n_jobs):
if verbose:
print banner('NLP')
nc, cc = _nlp_sub(disc_clsdict, gold_clsdict, fragments_cross, 'cross',
verbose, n_jobs)
nw, cw = _nlp_sub(disc_clsdict, gold_clsdict, fragments_within, 'within',
verbose, n_jobs)
# calculating the pairs/clusters found in the discovery algoritms,
# it's stored on the 'nlp' output file, used to compare diff algoritms
nclust = len(disc_clsdict.items())
npairs = sum([nCr(len(v[1]), 2) for v in disc_clsdict.items()])
with open(path.join(dest, 'nlp'), 'w') as fid:
fid.write(pretty_score_nlp(nc, cc, 'NLP total',
len(fragments_cross), sum(map(len, fragments_cross)),
nclust, npairs))
fid.write('\n')
fid.write(pretty_score_nlp(nw, cw, 'NLP within-speaker only',
len(fragments_within), sum(map(len, fragments_within)),
nclust, npairs))
def token_type(disc_clsdict, wrd_corpus, fragments_within, fragments_cross,
dest, verbose, n_jobs):
if verbose:
print banner('TOKEN/TYPE')
ptoc, rtoc, ptyc, rtyc = _token_type_sub(disc_clsdict, wrd_corpus,
fragments_cross, 'cross',
verbose, n_jobs)
ftoc = np.fromiter((fscore(ptoc[i], rtoc[i]) for i in xrange(ptoc.shape[0])),
dtype=np.double)
ftyc = np.fromiter((fscore(ptyc[i], rtyc[i]) for i in xrange(ptyc.shape[0])),
dtype=np.double)
ptow, rtow, ptyw, rtyw = _token_type_sub(disc_clsdict, wrd_corpus,
fragments_within, 'within',
verbose, n_jobs)
ftow = np.fromiter((fscore(ptow[i], rtow[i]) for i in xrange(ptow.shape[0])),
dtype=np.double)
ftyw = np.fromiter((fscore(ptyw[i], rtyw[i]) for i in xrange(rtyw.shape[0])),
dtype=np.double)
with open(path.join(dest, 'token_type'), 'w') as fid:
fid.write(pretty_score_f(ptoc, rtoc, ftoc, 'token total',
len(fragments_cross),
sum(map(len, fragments_cross))))
fid.write('\n')
fid.write(pretty_score_f(ptyc, rtyc, ftyc, 'type total',
len(fragments_cross),
sum(map(len, fragments_cross))))
fid.write('\n')
fid.write(pretty_score_f(ptow, rtow, ftow, 'token within-speaker only',
len(fragments_within),
sum(map(len, fragments_within))))
fid.write('\n')
fid.write(pretty_score_f(ptyw, rtyw, ftyw, 'type within-speaker only',
len(fragments_within),
sum(map(len, fragments_within))))
def token_type(disc_clsdict, wrd_corpus, fragments_within, fragments_cross,
dest, verbose, n_jobs):
if verbose:
print banner('TOKEN/TYPE')
ptoc, rtoc, ptyc, rtyc = _token_type_sub(disc_clsdict, wrd_corpus,
fragments_cross, 'cross',
verbose, n_jobs)
ftoc = np.fromiter((fscore(ptoc[i], rtoc[i]) for i in xrange(ptoc.shape[0])),
dtype=np.double)
ftyc = np.fromiter((fscore(ptyc[i], rtyc[i]) for i in xrange(ptyc.shape[0])),
dtype=np.double)
ptow, rtow, ptyw, rtyw = _token_type_sub(disc_clsdict, wrd_corpus,
fragments_within, 'within',
verbose, n_jobs)
ftow = np.fromiter((fscore(ptow[i], rtow[i]) for i in xrange(ptow.shape[0])),
dtype=np.double)
ftyw = np.fromiter((fscore(ptyw[i], rtyw[i]) for i in xrange(rtyw.shape[0])),
dtype=np.double)
with open(path.join(dest, 'token_type'), 'w') as fid:
fid.write(pretty_score_f(ptoc, rtoc, ftoc, 'token total',
len(fragments_cross),
sum(map(len, fragments_cross))))
fid.write('\n')
fid.write(pretty_score_f(ptyc, rtyc, ftyc, 'type total',
len(fragments_cross),
sum(map(len, fragments_cross))))
fid.write('\n')
fid.write(pretty_score_f(ptow, rtow, ftow, 'token within-speaker only',
len(fragments_within),
sum(map(len, fragments_within))))
fid.write('\n')
fid.write(pretty_score_f(ptyw, rtyw, ftyw, 'type within-speaker only',
len(fragments_within),
sum(map(len, fragments_within))))
def make_typeset(pclus, verbose, debug):
with verb_print('constructing typeset', verbose, True, True):
ts = list(typeset(pclus))
if debug:
print banner('TYPESET ({0})'.format(len(ts)))
print pformat(ts)
print
return ts
def make_weights(pclus, verbose, debug):
with verb_print('constructing weights', verbose, True, True):
ws = weights(pclus)
if debug:
print banner('WEIGHTS')
print pformat(ws)
print
return ws
def make_psubs_nmatch(psubs, verbose, debug):
with verb_print('making psubs nmatch', verbose, True, True):
psubs_nmatch = nmatch(psubs)
if debug:
print banner('NMATCH(PSUBS)')
print pformat(psubs_nmatch)
print
return psubs_nmatch
def make_pgoldclus_nmatch(pgoldclus, verbose, debug):
with verb_print('constructing pgoldclus_nmatch', verbose, True, True):
pgoldclus_nmatch = nmatch(pgoldclus)
if debug:
print banner('NMATCH(PGOLDCLUS)')
print pformat(pgoldclus_nmatch)
print
return pgoldclus_nmatch
def make_pdisc(disc_clsdict, verbose, debug):
with verb_print('constructing pdisc set', verbose, True, True):
pdisc = list(Pclus(disc_clsdict))
if debug:
print banner('PDISC ({0})'.format(len(pdisc)))
print pretty_pairs(pdisc)
print
return pdisc
def make_typeset(psubs, verbose, debug):
with verb_print('making typeset', verbose, True, True):
ts = list(typeset(psubs))
if debug:
print banner('TYPES(PSUBS) ({0})'.format(len(ts)))
print pformat(ts)
print
return ts
def make_weights(psubs, verbose, debug):
with verb_print('making weights', verbose, True, True):
ws = weights(psubs)
if debug:
print banner('WEIGHTS(PSUBS) ({0})'.format(len(ws)))
print pformat(ws)
print
return ws
def make_weights(psubs, verbose, debug):
with verb_print('making weights', verbose, True, True):
ws = weights(psubs)
if debug:
print banner('WEIGHTS(PSUBS) ({0})'.format(len(ws)))
print pformat(ws)
print
return ws
def make_psubs_nmatch(psubs, verbose, debug):
with verb_print('making psubs nmatch', verbose, True, True):
psubs_nmatch = nmatch(psubs)
if debug:
print banner('NMATCH(PSUBS)')
print pformat(psubs_nmatch)
print
return psubs_nmatch
def make_pdisc(disc_clsdict, verbose, debug):
with verb_print('constructing pdisc set', verbose, True, True):
pdisc = list(Pclus(disc_clsdict))
if debug:
print banner('PDISC ({0})'.format(len(pdisc)))
print pretty_pairs(pdisc)
print
return pdisc
def make_pgold(gold_clsdict, verbose, debug):
with verb_print('constructing pgold set', verbose, True, True):
pgold = list(Pclus(gold_clsdict))
if debug:
print banner('PGOLD ({0})'.format(len(pgold)))
print pretty_pairs(pgold)
print
return pgold
def make_typeset(psubs, verbose, debug):
with verb_print('making typeset', verbose, True, True):
ts = list(typeset(psubs))
if debug:
print banner('TYPES(PSUBS) ({0})'.format(len(ts)))
print pformat(ts)
print
return ts
def make_pgold(gold_clsdict, verbose, debug):
with verb_print('constructing pgold set', verbose, True, True):
pgold = list(Pclus(gold_clsdict))
if debug:
print banner('PGOLD ({0})'.format(len(pgold)))
print pretty_pairs(pgold)
print
return pgold
def make_pgold_nmatch(pgold, verbose, debug):
with verb_print('constructing nmatch_gold', verbose, True, True):
nmatch_gold = nmatch(pgold)
if debug:
print banner('nmatch_gold')
for k, v in nmatch_gold.iteritems():
print k, v
return nmatch_gold
def make_pgoldclus(disc_clsdict, verbose, debug):
with verb_print('constructing pgoldclus', verbose, True, True):
pgoldclus = list(Pgoldclus(disc_clsdict))
if debug:
pgoldclus = list(pgoldclus)
print banner('PGOLDCLUS ({0})'.format(len(pgoldclus)))
print pretty_pairs(pgoldclus)
print
return pgoldclus
def make_psubs_pgold_nmatch(pgold, psubs, verbose, debug):
with verb_print('making psubs/pgold nmatch', verbose, True, True):
psubs_pgold_intersect = intersection(pgold, psubs)
psubs_pgold_nmatch = nmatch(psubs_pgold_intersect)
if debug:
print banner('NMATCH(PSUBS/PGOLD)')
print pformat(psubs_pgold_nmatch)
print
return psubs_pgold_nmatch
def make_pclus_pgoldclus_nmatch(pclus, pgoldclus, verbose, debug):
with verb_print('making pclus/pgoldclus nmatch', verbose, True, True):
pclus_pgoldclus_intersect = list(intersection(pclus, pgoldclus))
pclus_pgoldclus_nmatch = nmatch(pclus_pgoldclus_intersect)
if debug:
print banner('NMATCH(PCLUS/PGOLDCLUS)')
print pformat(pclus_pgoldclus_nmatch)
print
return pclus_pgoldclus_nmatch
def make_pgold_nmatch(pgold, verbose, debug):
with verb_print('constructing nmatch_gold', verbose, True, True):
nmatch_gold = nmatch(pgold)
if debug:
print banner('nmatch_gold')
for k, v in nmatch_gold.iteritems():
print k, v
return nmatch_gold
def make_psubs_pgold_nmatch(pgold, psubs, verbose, debug):
with verb_print('making psubs/pgold nmatch', verbose, True, True):
psubs_pgold_intersect = intersection(pgold, psubs)
psubs_pgold_nmatch = nmatch(psubs_pgold_intersect)
if debug:
print banner('NMATCH(PSUBS/PGOLD)')
print pformat(psubs_pgold_nmatch)
print
return psubs_pgold_nmatch
def make_psubs(disc_clsdict, corpus, minlength, maxlength,
verbose, debug):
with verb_print('constructing psubs set', verbose, True, True):
psubs = list(Psubs(disc_clsdict, corpus, minlength=minlength,
maxlength=maxlength))
if debug:
print banner('PSUBS ({0})'.format(len(psubs)))
print pretty_pairs(psubs)
print
return psubs
def make_pclus(disc_clsdict, verbose, debug):
with verb_print('constructing pclus', verbose, True, True):
pclus = list(tuple(sorted((f1, f2),
key=lambda f: (f.name, f.interval.start)))
for f1, f2 in Pclus_single(disc_clsdict))
if debug:
print banner('PCLUS ({0})'.format(len(pclus)))
print pretty_pairs(pclus)
print
return pclus
def boundary(disc_clsdict, corpus, fragments_cross,
dest, verbose, n_jobs):
if verbose:
print banner('BOUNDARY')
pc, rc = _boundary_sub(disc_clsdict, corpus, fragments_cross,
'cross', verbose, n_jobs)
fc = np.fromiter((fscore(pc[i], rc[i]) for i in xrange(pc.shape[0])), dtype=np.double)
with open(path.join(dest, 'boundary'), 'w') as fid:
fid.write(pretty_score(pc, rc, fc, 'boundary total',
sum(map(len, fragments_cross))))
def make_psubs(disc_clsdict, corpus, minlength, maxlength, verbose, debug):
with verb_print('constructing psubs set', verbose, True, True):
psubs = list(
Psubs(disc_clsdict,
corpus,
minlength=minlength,
maxlength=maxlength))
if debug:
print banner('PSUBS ({0})'.format(len(psubs)))
print pretty_pairs(psubs)
print
return psubs
def group(disc_clsdict, fragments_all, dest, verbose, n_jobs):
if verbose:
print banner('GROUP')
#TODO CHECK SCORE ACROSS/WITHIN!
pc, rc = _group_sub(disc_clsdict, fragments_all, 'all', verbose, n_jobs)
fc = np.fromiter((fscore(pc[i], rc[i]) for i in xrange(pc.shape[0])), dtype=np.double)
#pw, rw = _group_sub(disc_clsdict, fragments_within, 'within', verbose, n_jobs)
#fw = np.fromiter((fscore(pw[i], rw[i]) for i in xrange(pw.shape[0])), dtype=np.double)
with open(path.join(dest, 'group'), 'w') as fid:
fid.write(pretty_score(pc, rc, fc, 'group total',
sum(map(len, fragments_all))))
def group(disc_clsdict, fragments_within, fragments_cross, dest, verbose, n_jobs):
if verbose:
print banner('GROUP')
pc, rc = _group_sub(disc_clsdict, fragments_cross, 'cross', verbose, n_jobs)
fc = np.fromiter((fscore(pc[i], rc[i]) for i in xrange(pc.shape[0])), dtype=np.double)
pw, rw = _group_sub(disc_clsdict, fragments_within, 'within', verbose, n_jobs)
fw = np.fromiter((fscore(pw[i], rw[i]) for i in xrange(pw.shape[0])), dtype=np.double)
with open(path.join(dest, 'group'), 'w') as fid:
fid.write(pretty_score_f(pc, rc, fc, 'group total',
len(fragments_cross),
sum(map(len, fragments_cross))))
fid.write('\n')
fid.write(pretty_score_f(pw, rw, fw, 'group within-speaker only',
len(fragments_within),
sum(map(len, fragments_within))))
def nlp(disc_clsdict, gold_clsdict, fragments_within, fragments_cross,
dest, verbose, n_jobs):
if verbose:
print banner('NLP')
nc, cc = _nlp_sub(disc_clsdict, gold_clsdict, fragments_cross, 'cross',
verbose, n_jobs)
nw, cw = _nlp_sub(disc_clsdict, gold_clsdict, fragments_within, 'within',
verbose, n_jobs)
with open(path.join(dest, 'nlp'), 'w') as fid:
fid.write(pretty_score_nlp(nc, cc, 'NLP total',
len(fragments_within),
sum(map(len, fragments_within))))
fid.write('\n')
fid.write(pretty_score_nlp(nw, cw, 'NLP within-speaker only',
len(fragments_cross),
sum(map(len, fragments_cross))))
def group(disc_clsdict, fragments_within, fragments_cross, dest, verbose, n_jobs):
if verbose:
print banner('GROUP')
pc, rc = _group_sub(disc_clsdict, fragments_cross, 'cross', verbose, n_jobs)
fc = np.fromiter((fscore(pc[i], rc[i]) for i in xrange(pc.shape[0])), dtype=np.double)
pw, rw = _group_sub(disc_clsdict, fragments_within, 'within', verbose, n_jobs)
fw = np.fromiter((fscore(pw[i], rw[i]) for i in xrange(pw.shape[0])), dtype=np.double)
with open(path.join(dest, 'group'), 'w') as fid:
fid.write(pretty_score_f(pc, rc, fc, 'group total',
len(fragments_cross),
sum(map(len, fragments_cross))))
fid.write('\n')
fid.write(pretty_score_f(pw, rw, fw, 'group within-speaker only',
len(fragments_within),
sum(map(len, fragments_within))))
def nlp(disc_clsdict, gold_clsdict, fragments_within, fragments_cross,
dest, verbose, n_jobs):
if verbose:
print banner('NLP')
nc, cc = _nlp_sub(disc_clsdict, gold_clsdict, fragments_cross, 'cross',
verbose, n_jobs)
nw, cw = _nlp_sub(disc_clsdict, gold_clsdict, fragments_within, 'within',
verbose, n_jobs)
with open(path.join(dest, 'nlp'), 'w') as fid:
fid.write(pretty_score_nlp(nc, cc, 'NLP total',
len(fragments_within),
sum(map(len, fragments_within))))
fid.write('\n')
fid.write(pretty_score_nlp(nw, cw, 'NLP within-speaker only',
len(fragments_cross),
sum(map(len, fragments_cross))))
def boundary_wrd(disc_clsdict, corpus, fragments_within, fragments_cross,
dest, verbose, n_jobs, threshold=0.03):
if verbose:
print banner('BOUNDARY (WRD)')
pc, rc = _boundary_sub(disc_clsdict, corpus, fragments_cross,
'cross', verbose, n_jobs, threshold=threshold)
fc = np.fromiter((fscore(pc[i], rc[i]) for i in xrange(pc.shape[0])), dtype=np.double)
pw, rw = _boundary_sub(disc_clsdict, corpus, fragments_within,
'within', verbose, n_jobs, threshold=threshold)
fw = np.fromiter((fscore(pw[i], rw[i]) for i in xrange(pw.shape[0])), dtype=np.double)
with open(path.join(dest, 'boundary_wrd'), 'w') as fid:
fid.write(pretty_score_f(pc, rc, fc, 'boundary total',
len(fragments_cross),
sum(map(len, fragments_cross))))
fid.write('\n')
fid.write(pretty_score_f(pw, rw, fw, 'boundary within-speaker only',
len(fragments_within),
sum(map(len, fragments_within))))
def match(disc_clsdict, gold_clsdict, phn_corpus,
fragments_within, fragments_cross,
dest, verbose, n_jobs):
if verbose:
print banner('MATCHING')
pc, rc = _match_sub(disc_clsdict, gold_clsdict, phn_corpus,
fragments_cross, 'cross', verbose, n_jobs)
fc = np.fromiter((fscore(pc[i], rc[i]) for i in xrange(pc.shape[0])), dtype=np.double)
pw, rw = _match_sub(disc_clsdict, gold_clsdict, phn_corpus,
fragments_within, 'within', verbose, n_jobs)
fw = np.fromiter((fscore(pw[i], rw[i]) for i in xrange(pw.shape[0])), dtype=np.double)
with open(path.join(dest, 'matching'), 'w') as fid:
fid.write(pretty_score_f(pc, rc, fc, 'match total',
len(fragments_cross),
sum(map(len, fragments_cross))))
fid.write('\n')
fid.write(pretty_score_f(pw, rw, fw, 'match within-speaker only',
len(fragments_within),
sum(map(len, fragments_within))))
def match(disc_clsdict, gold_clsdict, phn_corpus,
fragments_within, fragments_cross,
dest, verbose, n_jobs):
if verbose:
print banner('MATCHING')
pc, rc = _match_sub(disc_clsdict, gold_clsdict, phn_corpus,
fragments_cross, 'cross', verbose, n_jobs)
fc = np.fromiter((fscore(pc[i], rc[i]) for i in xrange(pc.shape[0])), dtype=np.double)
pw, rw = _match_sub(disc_clsdict, gold_clsdict, phn_corpus,
fragments_within, 'within', verbose, n_jobs)
fw = np.fromiter((fscore(pw[i], rw[i]) for i in xrange(pw.shape[0])), dtype=np.double)
with open(path.join(dest, 'matching'), 'w') as fid:
fid.write(pretty_score_f(pc, rc, fc, 'match total',
len(fragments_cross),
sum(map(len, fragments_cross))))
fid.write('\n')
fid.write(pretty_score_f(pw, rw, fw, 'match within-speaker only',
len(fragments_within),
sum(map(len, fragments_within))))
def load_disc(fname, corpus, split_file, truncate, verbose):
with verb_print(' loading discovered classes', verbose, True, True, True):
split_mapping = load_split(split_file)
disc, errors = _load_classes(fname, corpus, split_mapping)
if not truncate:
errors_found = len(errors) > 0
if len(errors) > 100:
print 'There were more than 100 interval errors found.'
print 'Printing only the first 100.'
print
errors = errors[:100]
for fragment in sorted(errors,
key=lambda x: (x.name, x.interval.start)):
print ' error: {0} [{1:.3f}, {2:.3f}]'.format(
fragment.name, fragment.interval.start,
fragment.interval.end)
if not truncate and errors_found:
print 'There were errors in {0}. Use option -f to'\
' automatically skip invalid intervals.'.format(fname)
sys.exit()
if truncate:
with verb_print(' checking discovered classes and truncating'):
disc, filename_errors, interval_errors = \
truncate_intervals(disc, corpus,
split_mapping)
else:
with verb_print(' checking discovered classes', verbose, True, True,
True):
filename_errors, interval_errors = \
check_intervals(disc, split_mapping)
if not truncate:
filename_errors = sorted(filename_errors,
key=lambda x: (x.name, x.interval.start))
interval_errors = sorted(interval_errors,
key=lambda x: (x.name, x.interval.start))
interval_error = len(interval_errors) > 0
filename_error = len(filename_errors) > 0
errors_found = filename_error or interval_error
if interval_error:
print banner('intervals found in {0} outside of valid'
' splits'.format(fname))
if len(interval_errors) > 100:
print 'There were more than 100 interval errors found.'
print 'Printing only the first 100.'
print
interval_errors = interval_errors[:100]
for fragment in sorted(interval_errors,
key=lambda x: (x.name, x.interval.start)):
print ' error: {0} [{1:.3f}, {2:.3f}]'.format(
fragment.name, fragment.interval.start,
fragment.interval.end)
if filename_error:
print banner('unknown filenames found in {0}'.format(fname))
if len(filename_errors) > 100:
print 'There were more than 100 filename errors found.'
print 'Printing only the first 100.'
print
filename_errors = filename_errors[:100]
for fragment in sorted(filename_errors,
key=lambda x: (x.name, x.interval.start)):
print ' error: {0}'.format(fragment.name)
if not truncate and errors_found:
print 'There were errors in {0}. Use option -f to automatically skip invalid intervals.'.format(
fname)
sys.exit()
return disc
'xitsonga.intervals.within')
gold_clsfile = path.join(resource_dir, 'xitsonga.classes')
phn_corpus_file = path.join(resource_dir, 'xitsonga.phn')
wrd_corpus_file = path.join(resource_dir, 'xitsonga.wrd')
split_file = path.join(resource_dir, 'xitsonga.split')
if verbose:
print 'xitsonga_eval2 version {0}'.format(VERSION)
print '--------------------------'
print 'dataset: xitsonga'
print 'inputfile: {0}'.format(disc_clsfile)
print 'destination: {0}'.format(dest)
print
if verbose:
print banner('LOADING FILES')
wrd_corpus = load_wrd_corpus(wrd_corpus_file, verbose)
phn_corpus = load_phn_corpus(phn_corpus_file, verbose)
fragments_cross = load_fragments_cross(fragments_cross_file, verbose)
fragments_within = load_fragments_within(fragments_within_file, verbose)
truncate = args['truncate']
disc_clsdict = load_disc(disc_clsfile, phn_corpus, split_file, truncate,
verbose)
gold_clsdict = load_gold(gold_clsfile, phn_corpus, verbose)
try:
os.makedirs(dest)
except OSError:
def load_disc(fname, corpus, split_file, truncate, verbose):
with verb_print(' loading discovered classes',
verbose, True, True, True):
split_mapping = load_split(split_file)
disc, errors = _load_classes(fname, corpus, split_mapping)
if not truncate:
errors_found = len(errors) > 0
if len(errors) > 100:
print 'There were more than 100 interval errors found.'
print 'Printing only the first 100.'
print
errors = errors[:100]
for fragment in sorted(errors, key=lambda x: (x.name, x.interval.start)):
print ' error: {0} [{1:.3f}, {2:.3f}]'.format(
fragment.name, fragment.interval.start, fragment.interval.end)
if not truncate and errors_found:
print 'There were errors in {0}. Use option -f to'\
' automatically skip invalid intervals.'.format(fname)
sys.exit()
if truncate:
with verb_print(' checking discovered classes and truncating'):
disc, filename_errors, interval_errors = \
truncate_intervals(disc, corpus,
split_mapping)
else:
with verb_print(' checking discovered classes', verbose, True,
True, True):
filename_errors, interval_errors = \
check_intervals(disc, split_mapping)
if not truncate:
filename_errors = sorted(filename_errors,
key=lambda x: (x.name, x.interval.start))
interval_errors = sorted(interval_errors,
key=lambda x: (x.name, x.interval.start))
interval_error = len(interval_errors) > 0
filename_error = len(filename_errors) > 0
errors_found = filename_error or interval_error
if interval_error:
print banner('intervals found in {0} outside of valid'
' splits'.format(fname))
if len(interval_errors) > 100:
print 'There were more than 100 interval errors found.'
print 'Printing only the first 100.'
print
interval_errors = interval_errors[:100]
for fragment in sorted(interval_errors,
key=lambda x: (x.name, x.interval.start)):
print ' error: {0} [{1:.3f}, {2:.3f}]'.format(
fragment.name,
fragment.interval.start, fragment.interval.end)
if filename_error:
print banner('unknown filenames found in {0}'
.format(fname))
if len(filename_errors) > 100:
print 'There were more than 100 filename errors found.'
print 'Printing only the first 100.'
print
filename_errors = filename_errors[:100]
for fragment in sorted(filename_errors,
key=lambda x: (x.name, x.interval.start)):
print ' error: {0}'.format(fragment.name)
if not truncate and errors_found:
print 'There were errors in {0}. Use option -f to automatically skip invalid intervals.'.format(fname)
sys.exit()
return disc
rdir = path.dirname(path.realpath(__file__))
resource_dir = path.join(rdir, 'resources')
prefix = 'globalphone-' + lang
phn_corpus_file = path.join(resource_dir, prefix + '.phn')
if verbose:
print 'globalphone_eval2 version {0}'.format(VERSION)
print '----------------------------'
print 'dataset: globalphone-' + lang
print 'inputfile: {0}'.format(match_fn)
print 'destination: {0}'.format(dest)
print
if verbose:
print banner('Loading phone corpus.')
phn_corpus = load_corpus_txt(phn_corpus_file)
if verbose:
print banner('Loading matches from master_match.')
matches = load_match_file(match_fn, phn_corpus)
ned_scores, dtw_scores = ned_sub(matches, verbose, n_jobs)
with open(dest, 'w') as f:
for ned_score, dtw_score in zip(ned_scores, dtw_scores):
f.write("%.4f %.4f\n" % (ned_score, dtw_score))
# sns.jointplot(np.array(dtw_scores), np.array(ned_scores), kind='kde')
# plt.show()
fragments_within_file = path.join(resource_dir, 'sample.intervals.within')
gold_clsfile = path.join(resource_dir, 'sample.classes')
phn_corpus_file = path.join(resource_dir, 'sample.phn')
wrd_corpus_file = path.join(resource_dir, 'sample.wrd')
split_file = path.join(resource_dir, 'sample.split')
if verbose:
print 'sample_eval2 version {0}'.format(VERSION)
print '--------------------------'
print 'dataset: sample'
print 'inputfile: {0}'.format(disc_clsfile)
print 'destination: {0}'.format(dest)
print
if verbose:
print banner('LOADING FILES')
wrd_corpus = load_wrd_corpus(wrd_corpus_file, verbose)
phn_corpus = load_phn_corpus(phn_corpus_file, verbose)
fragments_cross = load_fragments_cross(fragments_cross_file, verbose)
fragments_within = load_fragments_within(fragments_within_file, verbose)
truncate = args['truncate']
disc_clsdict = load_disc(disc_clsfile, phn_corpus, split_file,
truncate, verbose)
gold_clsdict = load_gold(gold_clsfile, phn_corpus, verbose)
try:
os.makedirs(dest)
except OSError:
