def lat2fsg(lat, fsgfile, lmfst, prune=15):
if isinstance(lat, str):
if lat.endswith(".slf"):
dag = lattice.Dag(htkfile=lat)
else:
dag = lattice.Dag(lat)
else:
dag = lat
fst = build_lattice_fsg(dag, lmfst.InputSymbols())
# Compose it (intersect, really) with the language model to get
# correct N-gram scores (otherwise it is just a unigram LM). This
# is the same thing as "lattice expansion".
phi = lmfst.InputSymbols().Find("φ")
if phi != -1:
opts = openfst.StdPhiComposeOptions()
opts.matcher1 = openfst.StdPhiMatcher(fst, openfst.MATCH_NONE)
opts.matcher2 = openfst.StdPhiMatcher(lmfst, openfst.MATCH_INPUT, phi)
cfst = openfst.StdComposeFst(fst, lmfst, opts)
else:
cfst = openfst.StdComposeFst(fst, lmfst)
outfst = openfst.StdVectorFst(cfst)
openfst.Prune(outfst, prune)
# Write it back out as an FSG for PocketSphinx.
build_fsg_fst(outfst, fsgfile)
return outfst
def lat2flat(latfile, fsgfile, lmfst):
"""
Subset a language model using the vocabulary of a lattice.
"""
dag = lattice.Dag(latfile)
fst = openfst.StdVectorFst()
fst.SetStart(fst.AddState())
fst.SetFinal(0, 0)
syms = lmfst.InputSymbols()
seen = set()
for n in dag.nodes:
# Skip fillers as they have been "bypassed" by PocketSphinx
if n.sym.startswith("++") or n.sym == "<sil>":
continue
if n.sym in seen:
continue
seen.add(n.sym)
sym = syms.Find(baseword(n.sym))
if sym == -1:
continue
fst.AddArc(0, sym, sym, 0, 0)
fst.SetOutputSymbols(lmfst.InputSymbols())
phi = lmfst.InputSymbols().Find("φ")
if phi != -1:
opts = openfst.StdPhiComposeOptions()
opts.matcher1 = openfst.StdPhiMatcher(fst, openfst.MATCH_NONE)
opts.matcher2 = openfst.StdPhiMatcher(lmfst, openfst.MATCH_INPUT, phi)
cfst = openfst.StdComposeFst(fst, lmfst, opts)
else:
cfst = openfst.StdComposeFst(fst, lmfst)
outfst = openfst.StdVectorFst()
openfst.Determinize(cfst, outfst)
# Write it back out as an FSG for PocketSphinx.
build_fsg_fst(outfst, fsgfile)
return outfst
def lat_rescore(latfile, lmfst):
"""
Rescore a lattice using a language model.
"""
dag = lattice.Dag(latfile)
end = dag.bestpath(lm)
words = []
return [lattice.baseword(x.sym) for x in dag.backtrace(end)], end.score
def lat2fsg_posterior(lat, fsgfile, prune=5, errfst=None):
if isinstance(lat, str):
if lat.endswith(".slf"):
dag = lattice.Dag(htk_file=lat)
else:
dag = lattice.Dag(lat)
else:
dag = lat
dag.posterior_prune(-prune)
fst = build_lattice_fsg(dag, pscale=1)
if errfst:
fst = build_lattice_fsg(dag, errfst.InputSymbols(), pscale=1, addsyms=True)
errfst.SetOutputSymbols(errfst.InputSymbols())
fst = apply_errfst(fst, errfst)
else:
fst = build_lattice_fsg(dag, pscale=1)
build_fsg_fst(fst, fsgfile)
return fst
def load_denlat(latfile):
# Annotate the lattice with posterior probabilities
dag = lattice.Dag(latfile)
dag.remove_unreachable()
arc = []
for w in dag.nodes:
for l in w.exits:
if (w.entry, w.sym, l.dest.entry, l.dest.sym) not in arc:
arc.append((w.entry, w.sym, l.dest.entry, l.dest.sym))
lat = {}
for n in arc:
if n[1] != '<s>':
left = []
right = []
for m in arc:
if n[3] == '</s>' and (n[2], n[3], n[2]) not in right:
right.append((n[2], n[3], n[2]))
elif m[0] == n[2] and m[1] == n[3]:
if (m[0], m[1], m[2]) not in right:
right.append((m[0], m[1], m[2]))
if m[2] == n[0] and m[3] == n[1]:
if (m[0], m[1], m[2]) not in left:
left.append((m[0], m[1], m[2]))
if (n[0], n[1], n[2]) not in lat:
lat[(n[0], n[1], n[2])] = (left, right)
else:
for l in left:
if l not in lat[(n[0], n[1], n[2])][0]:
lat[(n[0], n[1], n[2])][0].append(l)
for r in right:
if r not in lat[(n[0], n[1], n[2])][1]:
lat[(n[0], n[1], n[2])][1].append(r)
return lat
ref = open(ref)
wordcount = 0
errcount = 0
for c, r in izip(ctl, ref):
# Normalize reference, etc.
ref, refid = get_utt(r)
c = c.strip()
r = ref.split()
if len(r) == 0 or r[0] != '<s>': r.insert(0, '<s>')
if r[-1] != '</s>': r.append('</s>')
r = filter(lambda x: not is_filler(x), r)
# Turn it into an FSM
rfst = fstutils.sent2fst(r)
# Get the hypothesis lattice
try:
l = lattice.Dag(os.path.join(latdir, c + ".lat"))
except IOError:
try:
l = lattice.Dag(os.path.join(latdir, c + ".lat.gz"))
except IOError:
l = lattice.Dag(htk_file=os.path.join(latdir, c + ".slf"))
if opts.prune != None:
l.posterior_prune(-opts.prune)
# Convert it to an FSM
lfst = lat2fsg.build_lattice_fsg(l,
rfst.OutputSymbols(),
addsyms=True,
determinize=False,
baseword=lattice.baseword_noclass)
openfst.ArcSortInput(lfst)
# Apply Levenshtein model to the input
import sys
import os
import lattice
from itertools import izip
ctl, ref, latdir = sys.argv[1:]
ctl = open(ctl)
ref = open(ref)
wordcount = 0
errcount = 0
for c,r in izip(ctl, ref):
c = c.strip()
r = r.split()
del r[-1]
if r[0] != '<s>': r.insert(0, '<s>')
if r[-1] != '</s>': r.append('</s>')
l = lattice.Dag()
l.sphinx2dag(os.path.join(latdir, c + ".lat.gz"))
err, bt = l.minimum_error(r)
maxlen = [max([len(y) for y in x]) for x in bt]
print " ".join(["%*s" % (m, x[0]) for m, x in izip(maxlen, bt)])
print " ".join(["%*s" % (m, x[1]) for m, x in izip(maxlen, bt)])
print "Error: %.2f%%" % (float(err) / len(r) * 100)
print
wordcount += len(r)
errcount += err
print "TOTAL Error: %.2f%%" % (float(errcount) / wordcount * 100)
edgecount = 0
density = 0
# prune lattices one by one
for i in range(start, end):
c = ctl[i].strip()
r = ref[i].split()
del r[-1]
if r[0] != '<s>': r.insert(0, '<s>')
if r[-1] != '</s>': r.append('</s>')
r = filter(lambda x: not lattice.is_filler(x), r)
print "process sent: %s" % c
# load lattice
print "\t load lattice ..."
dag = lattice.Dag(os.path.join(denlatdir, c + ".lat.gz"))
dag.bypass_fillers()
dag.remove_unreachable()
# prune lattice
dag.edges_unigram_score(lm, lw)
dag.dt_posterior()
# edge pruning
print "\t edge pruning ..."
dag.forward_edge_prune(abeam)
dag.backward_edge_prune(abeam)
dag.remove_unreachable()
# node pruning
print "\t node pruning ..."
parser = OptionParser(usage="%prog CTL LATDIR [LMFST]")
parser.add_option("--lmnamectl")
parser.add_option("--lmdir", default=".")
parser.add_option("--lw", type="float", default=7)
opts, args = parser.parse_args(sys.argv[1:])
ctlfile, latdir = args[0:2]
if len(args) > 2:
lmfst = openfst.StdVectorFst.Read(args[2])
lmnamectl = None
elif opts.lmnamectl:
lmnamectl = file(opts.lmnamectl)
lmfsts = {}
else:
parser.error("either --lmnamectl or LMFST must be given")
for spam in file(ctlfile):
if lmnamectl:
lmname = lmnamectl.readline().strip()
if lmname not in lmfsts:
lmfsts[lmname] = openfst.StdVectorFst.Read(os.path.join(opts.lmdir,
lmname + ".arpa.fst"))
lmfst = lmfsts[lmname]
try:
dag = lattice.Dag(os.path.join(latdir, spam.strip() + ".lat.gz"))
except IOError:
try:
dag = lattice.Dag(os.path.join(latdir, spam.strip() + ".lat"))
except IOError:
dag = lattice.Dag(htk_file=os.path.join(latdir, spam.strip() + ".slf"))
words, score = lat_rescore(dag, lmfst, opts.lw)
print " ".join(words), "(%s %f)" % (spam.strip(), score)
