trunk: Latgen variant for decoding with regtree

git-svn-id: https://svn.code.sf.net/p/kaldi/code/trunk@3760 5e6a8d80-dfce-4ca6-a32a-6e07a63d50c8

src/gmmbin/Makefile

@@ -26,7 +26,7 @@ BINFILES = gmm-init-mono gmm-est gmm-acc-stats-ali gmm-align \
            gmm-est-map gmm-adapt-map gmm-latgen-map gmm-basis-fmllr-accs-gpost \
            gmm-est-basis-fmllr-gpost gmm-latgen-tracking gmm-latgen-faster-parallel \
            gmm-est-fmllr-raw gmm-est-fmllr-raw-gpost gmm-global-init-from-feats \
-           gmm-global-info
+           gmm-global-info gmm-latgen-faster-regtree-fmllr
 
 OBJFILES =
 

src/gmmbin/gmm-latgen-faster-regtree-fmllr.cc

@@ -0,0 +1,215 @@
+// gmmbin/gmm-latgen-faster.cc
+
+// Copyright 2009-2012  Microsoft Corporation
+//                      Johns Hopkins University (author: Daniel Povey)
+
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//  http://www.apache.org/licenses/LICENSE-2.0
+//
+// THIS CODE IS PROVIDED *AS IS* BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+// KIND, EITHER EXPRESS OR IMPLIED, INCLUDING WITHOUT LIMITATION ANY IMPLIED
+// WARRANTIES OR CONDITIONS OF TITLE, FITNESS FOR A PARTICULAR PURPOSE,
+// MERCHANTABLITY OR NON-INFRINGEMENT.
+// See the Apache 2 License for the specific language governing permissions and
+// limitations under the License.
+
+
+#include "base/kaldi-common.h"
+#include "util/common-utils.h"
+#include "gmm/am-diag-gmm.h"
+#include "tree/context-dep.h"
+#include "hmm/transition-model.h"
+#include "fstext/fstext-lib.h"
+#include "decoder/lattice-faster-decoder.h"
+#include "gmm/decodable-am-diag-gmm.h"
+#include "util/timer.h"
+#include "transform/regression-tree.h"
+#include "transform/regtree-fmllr-diag-gmm.h"
+#include "transform/decodable-am-diag-gmm-regtree.h"
+#include "feat/feature-functions.h"  // feature reversal
+
+int main(int argc, char *argv[]) {
+  try {
+    using namespace kaldi;
+    typedef kaldi::int32 int32;
+    using fst::SymbolTable;
+    using fst::VectorFst;
+    using fst::StdArc;
+
+    const char *usage =
+        "Generate lattices using GMM-based model and RegTree-FMLLR adaptation.\n"
+        "Usage: gmm-latgen-faster-regtree-fmllr [options] model-in regtree-in (fst-in|fsts-rspecifier) features-rspecifier transform-rspecifier"
+        " lattice-wspecifier [ words-wspecifier [alignments-wspecifier] ]\n";
+    ParseOptions po(usage);
+    Timer timer;
+    bool allow_partial = false;
+    BaseFloat acoustic_scale = 0.1;
+    LatticeFasterDecoderConfig config;
+
+    std::string word_syms_filename, utt2spk_rspecifier;
+    config.Register(&po);
+    po.Register("utt2spk", &utt2spk_rspecifier, "rspecifier for utterance to "
+                "speaker map used to load the transform");
+    po.Register("acoustic-scale", &acoustic_scale,
+                "Scaling factor for acoustic likelihoods");
+    po.Register("word-symbol-table", &word_syms_filename,
+                "Symbol table for words [for debug output]");
+    po.Register("allow-partial", &allow_partial,
+                "If true, produce output even if end state was not reached.");
+
+    po.Read(argc, argv);
+
+    if (po.NumArgs() < 4 || po.NumArgs() > 6) {
+      po.PrintUsage();
+      exit(1);
+    }
+
+    std::string model_in_filename = po.GetArg(1),
+        regtree_in_str = po.GetArg(2),
+        fst_in_str = po.GetArg(3),
+        feature_rspecifier = po.GetArg(4),
+        xforms_rspecifier = po.GetArg(5),
+        lattice_wspecifier = po.GetArg(6),
+        words_wspecifier = po.GetOptArg(7),
+        alignment_wspecifier = po.GetOptArg(8);
+
+    TransitionModel trans_model;
+    AmDiagGmm am_gmm;
+    {
+      bool binary;
+      Input ki(model_in_filename, &binary);
+      trans_model.Read(ki.Stream(), binary);
+      am_gmm.Read(ki.Stream(), binary);
+    }
+
+    RegressionTree regtree;
+    {
+      bool binary_read;
+      Input in(regtree_in_str, &binary_read);
+      regtree.Read(in.Stream(), binary_read, am_gmm);
+    }
+
+    RandomAccessRegtreeFmllrDiagGmmReaderMapped fmllr_reader(xforms_rspecifier,
+                                                             utt2spk_rspecifier);
+
+    bool determinize = config.determinize_lattice;
+    CompactLatticeWriter compact_lattice_writer;
+    LatticeWriter lattice_writer;
+    if (! (determinize ? compact_lattice_writer.Open(lattice_wspecifier)
+           : lattice_writer.Open(lattice_wspecifier)))
+      KALDI_ERR << "Could not open table for writing lattices: "
+                 << lattice_wspecifier;
+
+    Int32VectorWriter words_writer(words_wspecifier);
+
+    Int32VectorWriter alignment_writer(alignment_wspecifier);
+
+    fst::SymbolTable *word_syms = NULL;
+    if (word_syms_filename != "") 
+      if (!(word_syms = fst::SymbolTable::ReadText(word_syms_filename)))
+        KALDI_ERR << "Could not read symbol table from file "
+                   << word_syms_filename;
+
+    double tot_like = 0.0;
+    kaldi::int64 frame_count = 0;
+    int num_done = 0, num_err = 0;
+
+    if (ClassifyRspecifier(fst_in_str, NULL, NULL) == kNoRspecifier) {
+      SequentialBaseFloatMatrixReader feature_reader(feature_rspecifier);
+      // Input FST is just one FST, not a table of FSTs.
+      VectorFst<StdArc> *decode_fst = fst::ReadFstKaldi(fst_in_str);
+
+      {
+        LatticeFasterDecoder decoder(*decode_fst, config);
+
+        for (; !feature_reader.Done(); feature_reader.Next()) {
+          std::string utt = feature_reader.Key();
+          Matrix<BaseFloat> features (feature_reader.Value());
+          feature_reader.FreeCurrent();
+          if (features.NumRows() == 0) {
+            KALDI_WARN << "Zero-length utterance: " << utt;
+            num_err++;
+            continue;
+          }
+          if (!fmllr_reader.HasKey(utt)) {
+            KALDI_WARN << "Not decoding utterance " << utt
+                       << " because no transform available.";
+            num_err++;
+            continue;
+          }
+
+          RegtreeFmllrDiagGmm fmllr(fmllr_reader.Value(utt));
+
+          kaldi::DecodableAmDiagGmmRegtreeFmllr gmm_decodable(am_gmm, trans_model,
+                                                            features, fmllr,
+                                                            regtree,
+                                                            acoustic_scale);
+          double like;
+          if (DecodeUtteranceLatticeFaster(
+                  decoder, gmm_decodable, trans_model, word_syms, utt, acoustic_scale,
+                  determinize, allow_partial, &alignment_writer, &words_writer,
+                  &compact_lattice_writer, &lattice_writer, &like)) {
+            tot_like += like;
+            frame_count += features.NumRows();
+            num_done++;
+          } else num_err++;
+        }
+      }
+      delete decode_fst; // delete this only after decoder goes out of scope.
+    } else { // We have different FSTs for different utterances.
+      SequentialTableReader<fst::VectorFstHolder> fst_reader(fst_in_str);
+      RandomAccessBaseFloatMatrixReader feature_reader(feature_rspecifier);          
+      for (; !fst_reader.Done(); fst_reader.Next()) {
+        std::string utt = fst_reader.Key();
+        const Matrix<BaseFloat> &features = feature_reader.Value(utt);
+        if (features.NumRows() == 0) {
+          KALDI_WARN << "Zero-length utterance: " << utt;
+          num_err++;
+          continue;
+        }
+        if (!fmllr_reader.HasKey(utt)) {
+          KALDI_WARN << "Not decoding utterance " << utt
+                     << " because no transform available.";
+          num_err++;
+          continue;
+        }
+
+        RegtreeFmllrDiagGmm fmllr(fmllr_reader.Value(utt));
+        kaldi::DecodableAmDiagGmmRegtreeFmllr gmm_decodable(am_gmm, trans_model,
+                                                            features, fmllr,
+                                                            regtree,
+                                                            acoustic_scale);
+
+        LatticeFasterDecoder decoder(fst_reader.Value(), config);
+        double like;
+        if (DecodeUtteranceLatticeFaster(
+                decoder, gmm_decodable, trans_model, word_syms, utt, acoustic_scale,
+                determinize, allow_partial, &alignment_writer, &words_writer,
+                &compact_lattice_writer, &lattice_writer, &like)) {
+          tot_like += like;
+          frame_count += features.NumRows();
+          num_done++;
+        } else num_err++;
+      }
+    }
+
+    double elapsed = timer.Elapsed();
+    KALDI_LOG << "Time taken "<< elapsed
+              << "s: real-time factor assuming 100 frames/sec is "
+              << (elapsed*100.0/frame_count);
+    KALDI_LOG << "Done " << num_done << " utterances, failed for "
+              << num_err;
+    KALDI_LOG << "Overall log-likelihood per frame is " << (tot_like/frame_count) << " over "
+              << frame_count << " frames.";
+
+    if (word_syms) delete word_syms;
+    if (num_done != 0) return 0;
+    else return 1;
+  } catch(const std::exception &e) {
+    std::cerr << e.what();
+    return -1;
+  }
+}