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src/onlinebin/online-audio-server-decode-faster.cc 13.3 KB
8dcb6dfcb   Yannick Estève   first commit
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  // onlinebin/online-audio-server-decode-faster.cc
  
  // Copyright 2012 Cisco Systems (author: Matthias Paulik)
  // Copyright 2013 Polish-Japanese Institute of Information Technology (author: Danijel Korzinek)
  
  //   Modifications to the original contribution by Cisco Systems made by:
  //   Vassil Panayotov
  
  // See ../../COPYING for clarification regarding multiple authors
  //
  // 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 "feat/feature-mfcc.h"
  #include "feat/wave-reader.h"
  #include "online/online-tcp-source.h"
  #include "online/online-feat-input.h"
  #include "online/online-decodable.h"
  #include "online/online-faster-decoder.h"
  #include "online/onlinebin-util.h"
  #include "matrix/kaldi-vector.h"
  #include "lat/word-align-lattice.h"
  #include "lat/lattice-functions.h"
  #include "lat/sausages.h"
  #include "lat/determinize-lattice-pruned.h"
  
  #include <sys/socket.h>
  #include <sys/types.h>
  #include <unistd.h>
  #include <ctime>
  #include <signal.h>
  
  namespace kaldi {
  /*
   * This class is for a very simple TCP server implementation
   * in UNIX sockets.
   */
  class TcpServer {
   public:
    TcpServer();
    ~TcpServer();
  
    bool Listen(int32 port);  //start listening on a given port
    int32 Accept();  //accept a client and return its descriptor
  
   private:
    struct sockaddr_in h_addr_;
    int32 server_desc_;
  };
  
  //write a line of text to socket
  bool WriteLine(int32 socket, std::string line);
  
  //constant allowing to convert frame count to time
  const float kFramesPerSecond = 100.0f;
  }  // namespace kaldi
  
  int32 main(int argc, char *argv[]) {
    using namespace kaldi;
    using namespace fst;
  
    try {
      typedef kaldi::int32 int32;
      typedef OnlineFeInput<Mfcc> FeInput;
      TcpServer tcp_server;
      signal(SIGPIPE, SIG_IGN);
  
      // up to delta-delta derivative features are calculated (unless LDA is used)
      const int32 kDeltaOrder = 2;
  
      const char *usage =
          "Starts a TCP server that receives RAW audio and outputs aligned words.
  "
              "A sample client can be found in: onlinebin/online-audio-client
  
  "
              "Usage: online-audio-server-decode-faster [options] model-in "
              "fst-in word-symbol-table silence-phones word_boundary_file tcp-port [lda-matrix-in]
  
  "
              "example: online-audio-server-decode-faster --verbose=1 --rt-min=0.5 --rt-max=3.0 --max-active=6000
  "
              "--beam=72.0 --acoustic-scale=0.0769 final.mdl graph/HCLG.fst graph/words.txt '1:2:3:4:5'
  "
              "graph/word_boundary.int 5000 final.mat
  
  ";
  
      ParseOptions po(usage);
      BaseFloat acoustic_scale = 0.1;
      int32 cmn_window = 600, min_cmn_window = 100;  // adds 1 second latency, only at utterance start.
      int32 right_context = 4, left_context = 4;
      BaseFloat frame_shift = 0.01;
  
      OnlineFasterDecoderOpts decoder_opts;
      decoder_opts.Register(&po, true);
      OnlineFeatureMatrixOptions feature_reading_opts;
      feature_reading_opts.Register(&po);
  
      po.Register("left-context", &left_context,
                  "Number of frames of left context");
      po.Register("right-context", &right_context,
                  "Number of frames of right context");
      po.Register("acoustic-scale", &acoustic_scale,
                  "Scaling factor for acoustic likelihoods");
      po.Register(
          "cmn-window", &cmn_window,
          "Number of feat. vectors used in the running average CMN calculation");
      po.Register("min-cmn-window", &min_cmn_window,
                  "Minumum CMN window used at start of decoding (adds "
                  "latency only at start)");
      po.Register("frame-shift", &frame_shift,
                  "Time in seconds between frames.
  ");
  
      WordBoundaryInfoNewOpts opts;
      opts.Register(&po);
  
      po.Read(argc, argv);
      if (po.NumArgs() < 6 || po.NumArgs() > 7) {
        po.PrintUsage();
        return 1;
      }
  
      std::string model_rspecifier = po.GetArg(1), fst_rspecifier = po.GetArg(2),
          word_syms_filename = po.GetArg(3), silence_phones_str = po.GetArg(4),
          word_boundary_file = po.GetArg(5), lda_mat_rspecifier = "";
  
      if (po.NumArgs() == 7)
        lda_mat_rspecifier = po.GetOptArg(7);
  
      int32 port = strtol(po.GetArg(6).c_str(), 0, 10);
  
      std::vector<int32> silence_phones;
      if (!SplitStringToIntegers(silence_phones_str, ":", false, &silence_phones))
        KALDI_ERR << "Invalid silence-phones string " << silence_phones_str;
      if (silence_phones.empty())
        KALDI_ERR << "No silence phones given!";
  
      if (!tcp_server.Listen(port))
        return 0;
  
      std::cout << "Reading LDA matrix: " << lda_mat_rspecifier << "..."
          << std::endl;
      Matrix < BaseFloat > lda_transform;
      if (lda_mat_rspecifier != "") {
        bool binary_in;
        Input ki(lda_mat_rspecifier, &binary_in);
        lda_transform.Read(ki.Stream(), binary_in);
      }
  
      std::cout << "Reading acoustic model: " << model_rspecifier << "..."
          << std::endl;
      TransitionModel trans_model;
      AmDiagGmm am_gmm;
      {
        bool binary;
        Input ki(model_rspecifier, &binary);
        trans_model.Read(ki.Stream(), binary);
        am_gmm.Read(ki.Stream(), binary);
      }
  
      std::cout << "Reading word list: " << word_syms_filename << "..."
          << std::endl;
      fst::SymbolTable *word_syms = NULL;
      if (!(word_syms = fst::SymbolTable::ReadText(word_syms_filename)))
        KALDI_ERR << "Could not read symbol table from file "
            << word_syms_filename;
  
      std::cout << "Reading word boundary file: " << word_boundary_file << "..."
          << std::endl;
      WordBoundaryInfo info(opts, word_boundary_file);
  
      std::cout << "Reading FST: " << fst_rspecifier << "..." << std::endl;
      fst::Fst < fst::StdArc > *decode_fst = ReadDecodeGraph(fst_rspecifier);
  
      // We are not properly registering/exposing MFCC and frame extraction options,
      // because there are parts of the online decoding code, where some of these
      // options are hardwired(ToDo: we should fix this at some point)
      MfccOptions mfcc_opts;
      mfcc_opts.use_energy = false;
      int32 frame_length = mfcc_opts.frame_opts.frame_length_ms = 25;
      int32 mfcc_frame_shift = mfcc_opts.frame_opts.frame_shift_ms = 10;
  
      int32 window_size = right_context + left_context + 1;
      decoder_opts.batch_size = std::max(decoder_opts.batch_size, window_size);
  
      DeterminizeLatticePrunedOptions det_opts;
      det_opts.max_mem = 50000000;
      det_opts.max_loop = 0;
  
      VectorFst < LatticeArc > out_fst;
      Lattice out_lat;
      CompactLattice det_lat, aligned_lat;
      OnlineTcpVectorSource* au_src = NULL;
      int32 client_socket = -1;
  
      while (true) {
        if (au_src == NULL || !au_src->IsConnected()) {
          if (au_src) {
            std::cout << "Client disconnected!" << std::endl;
            delete au_src;
          }
          client_socket = tcp_server.Accept();
          au_src = new OnlineTcpVectorSource(client_socket);
        }
  
        //re-initalizing decoder for each utterance
        OnlineFasterDecoder decoder(*decode_fst, decoder_opts, silence_phones,
                                    trans_model);
  
        Mfcc mfcc(mfcc_opts);
        FeInput fe_input(au_src, &mfcc, frame_length * (16000 / 1000),
                         mfcc_frame_shift * (16000 / 1000));  //we always assume 16 kHz Fs on input
        OnlineCmnInput cmn_input(&fe_input, cmn_window, min_cmn_window);
        OnlineFeatInputItf *feat_transform = 0;
        if (lda_mat_rspecifier != "") {
          feat_transform = new OnlineLdaInput(&cmn_input, lda_transform,
                                              left_context, right_context);
        } else {
          DeltaFeaturesOptions opts;
          opts.order = kDeltaOrder;
          feat_transform = new OnlineDeltaInput(opts, &cmn_input);
        }
  
        // feature_reading_opts contains number of retries, batch size.
        OnlineFeatureMatrix feature_matrix(feature_reading_opts, feat_transform);
  
        OnlineDecodableDiagGmmScaled decodable(am_gmm, trans_model,
                                               acoustic_scale, &feature_matrix);
  
        clock_t start = clock();
        int32 decoder_offset = 0;
  
        while (1) {
          if (!au_src->IsConnected())
            break;
  
          OnlineFasterDecoder::DecodeState dstate = decoder.Decode(&decodable);
  
          if (!au_src->IsConnected()) {
            break;
          }
  
          if (dstate & (decoder.kEndFeats | decoder.kEndUtt)) {
            std::vector<int32> word_ids, times, lengths;
  
            decoder.FinishTraceBack(&out_fst);
            decoder.GetBestPath(&out_fst);
  
            ConvertLattice(out_fst, &out_lat);
  
            Invert(&out_lat);
            //TopSort(&out_lat);
            //ArcSort(&out_lat, ILabelCompare<LatticeArc>());
  
            DeterminizeLatticePruned(out_lat, 10.0f, &det_lat, det_opts);
  
            WordAlignLattice(det_lat, trans_model, info, 0, &aligned_lat);
  
            CompactLatticeToWordAlignment(aligned_lat, &word_ids, &times,
                                          &lengths);
  
            //count number of non-sil words
            int32 words_num = 0;
            for (size_t i = 0; i < word_ids.size(); i++)
              if (word_ids[i] != 0)
                words_num++;
  
            if (words_num > 0) {
  
              float dur = (clock() - start) / (float) CLOCKS_PER_SEC;
              float input_dur = au_src->SamplesProcessed() / 16000.0;
  
              start = clock();
              au_src->ResetSamples();
  
              std::stringstream sstr;
              sstr << "RESULT:NUM=" << words_num << ",FORMAT=WSE,RECO-DUR=" << dur
                  << ",INPUT-DUR=" << input_dur;
  
              WriteLine(client_socket, sstr.str());
  
              for (size_t i = 0; i < word_ids.size(); i++) {
                if (word_ids[i] == 0)
                  continue;  //skip silences...
  
                std::string word = word_syms->Find(word_ids[i]);
                if (word.empty())
                  word = "???";
  
                float start = (times[i] + decoder_offset) / kFramesPerSecond;
                float len = lengths[i] / kFramesPerSecond;
  
                std::stringstream wstr;
                wstr << word << "," << start << "," << (start + len);
  
                WriteLine(client_socket, wstr.str());
              }
            }
  
            if (dstate == decoder.kEndFeats) {
              WriteLine(client_socket, "RESULT:DONE");
              break;
            }
  
            decoder_offset = decoder.frame();
          } else {
            std::vector<int32> word_ids;
            if (decoder.PartialTraceback(&out_fst)) {
              GetLinearSymbolSequence(out_fst, static_cast<vector<int32> *>(0),
                                      &word_ids,
                                      static_cast<LatticeArc::Weight*>(0));
              for (size_t i = 0; i < word_ids.size(); i++) {
                if (word_ids[i] != 0) {
                  WriteLine(client_socket,
                            "PARTIAL:" + word_syms->Find(word_ids[i]));
                }
              }
            }
          }
        }
        delete feat_transform;
      }
  
      std::cout << "Deinitizalizing..." << std::endl;
  
      delete word_syms;
      delete decode_fst;
      return 0;
  
    } catch (const std::exception& e) {
      std::cerr << e.what();
      return -1;
    }
  }  // main()
  
  namespace kaldi {
  // IMPLEMENTATION OF THE CLASSES/METHODS ABOVE MAIN
  TcpServer::TcpServer() {
    server_desc_ = -1;
  }
  
  bool TcpServer::Listen(int32 port) {
    h_addr_.sin_addr.s_addr = INADDR_ANY;
    h_addr_.sin_port = htons(port);
    h_addr_.sin_family = AF_INET;
  
    server_desc_ = socket(AF_INET, SOCK_STREAM, 0);
  
    if (server_desc_ == -1) {
      KALDI_ERR << "Cannot create TCP socket!";
      return false;
    }
  
    int32 flag = 1;
    int32 len = sizeof(int32);
    if( setsockopt(server_desc_, SOL_SOCKET, SO_REUSEADDR, &flag, len) == -1){
      KALDI_ERR << "Cannot set socket options!
  ";
      return false;
    }
  
    if (bind(server_desc_, (struct sockaddr*) &h_addr_, sizeof(h_addr_)) == -1) {
      KALDI_ERR << "Cannot bind to port: " << port << " (is it taken?)";
      return false;
    }
  
    if (listen(server_desc_, 1) == -1) {
      KALDI_ERR << "Cannot listen on port!";
      return false;
    }
  
    std::cout << "TcpServer: Listening on port: " << port << std::endl;
  
    return true;
  
  }
  
  TcpServer::~TcpServer() {
    if (server_desc_ != -1)
      close(server_desc_);
  }
  
  int32 TcpServer::Accept() {
    std::cout << "Waiting for client..." << std::endl;
  
    socklen_t len;
  
    len = sizeof(struct sockaddr);
    int32 client_desc = accept(server_desc_, (struct sockaddr*) &h_addr_, &len);
  
    struct sockaddr_storage addr;
    char ipstr[20];
  
    len = sizeof addr;
    getpeername(client_desc, (struct sockaddr*) &addr, &len);
  
    struct sockaddr_in *s = (struct sockaddr_in *) &addr;
    inet_ntop(AF_INET, &s->sin_addr, ipstr, sizeof ipstr);
  
    std::cout << "TcpServer: Accepted connection from: " << ipstr << std::endl;
  
    return client_desc;
  }
  
  bool WriteLine(int32 socket, std::string line) {
    line = line + "
  ";
  
    const char* p = line.c_str();
    int32 to_write = line.size();
    int32 wrote = 0;
    while (to_write > 0) {
      int32 ret = write(socket, p + wrote, to_write);
      if (ret <= 0)
        return false;
  
      to_write -= ret;
      wrote += ret;
    }
  
    return true;
  }
  }  // namespace kaldi