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src/onlinebin/online-net-client.cc 4.85 KB
8dcb6dfcb   Yannick Estève   first commit
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  // onlinebin/online-net-client.cc
  
  // Copyright 2012 Cisco Systems (author: Matthias Paulik)
  
  //   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 <netdb.h>
  #include <fcntl.h>
  
  #include "feat/feature-mfcc.h"
  #include "online/online-audio-source.h"
  #include "online/online-feat-input.h"
  
  
  int main(int argc, char *argv[]) {
    try {
      using namespace kaldi;
  
      typedef kaldi::int32 int32;
      typedef OnlineFeInput<Mfcc> FeInput;
  
      // Time out interval for the PortAudio source
      const int32 kTimeout = 500; // half second
      // PortAudio sampling rate
      const int32 kSampleFreq = 16000;
      // PortAudio's internal ring buffer size in bytes
      const int32 kPaRingSize = 32768;
      // Report interval for PortAudio buffer overflows in number of feat. batches
      const int32 kPaReportInt = 4;
  
      const char *usage =
          "Takes input using a microphone(PortAudio), extracts features and sends them
  "
          "to a speech recognition server over a network connection
  
  "
          "Usage: online-net-client server-address server-port
  
  ";
      ParseOptions po(usage);
      int32 batch_size = 27;
      po.Register("batch-size", &batch_size,
                  "The number of feature vectors to be extracted and sent in one go");
      po.Read(argc, argv);
      if (po.NumArgs() != 2) {
        po.PrintUsage();
        return 1;
      }
  
      std::string server_addr_str = po.GetArg(1);
      std::string server_port_str = po.GetArg(2);
  
      addrinfo *server_addr, hints;
      hints.ai_family = AF_INET;
      hints.ai_protocol = IPPROTO_UDP;
      hints.ai_socktype = SOCK_DGRAM;
      hints.ai_flags = AI_ADDRCONFIG;
      if (getaddrinfo(server_addr_str.c_str(), server_port_str.c_str(),
                      &hints, &server_addr) != 0)
        KALDI_ERR << "getaddrinfo() call failed!";
      int32 sock_desc = socket(server_addr->ai_family,
                               server_addr->ai_socktype,
                               server_addr->ai_protocol);
      if (sock_desc == -1)
        KALDI_ERR << "socket() call failed!";
      int32 flags = fcntl(sock_desc, F_GETFL);
      flags |= O_NONBLOCK;
      if (fcntl(sock_desc, F_SETFL, flags) == -1)
        KALDI_ERR << "fcntl() failed to put the socket in non-blocking mode!";
  
      // 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 frame_shift = mfcc_opts.frame_opts.frame_shift_ms = 10;
      OnlinePaSource au_src(kTimeout, kSampleFreq, kPaRingSize, kPaReportInt);
      Mfcc mfcc(mfcc_opts);
      FeInput fe_input(&au_src, &mfcc,
                       frame_length * (kSampleFreq / 1000),
                       frame_shift * (kSampleFreq / 1000));
      std::cerr << std::endl << "Sending features to " << server_addr_str
                << ':' << server_port_str << " ... " << std::endl;
      char buf[65535];
      Matrix<BaseFloat> feats;
      while (1) {
        feats.Resize(batch_size, mfcc_opts.num_ceps, kUndefined);
        bool more_feats = fe_input.Compute(&feats);
        if (feats.NumRows() > 0) {
          std::stringstream ss;
          feats.Write(ss, true); // serialize features as binary data
          ssize_t sent = sendto(sock_desc,
                                ss.str().c_str(),
                                ss.str().size(), 0,
                                server_addr->ai_addr,
                                server_addr->ai_addrlen);
          if (sent == -1)
            KALDI_ERR << "sendto() call failed!";
          ssize_t rcvd = recvfrom(sock_desc, buf, sizeof(buf), 0,
                                  server_addr->ai_addr, &server_addr->ai_addrlen);
          if (rcvd == -1 && errno != EWOULDBLOCK && errno != EAGAIN) {
            KALDI_ERR << "recvfrom() failed unexpectedly!";
          } else if (rcvd > 0) {
            buf[rcvd] = 0;
            std::cout << buf;
            std::cout.flush();
          }
        }
        if (!more_feats) break;
      }
      freeaddrinfo(server_addr);
      return 0;
    } catch(const std::exception& e) {
      std::cerr << e.what();
      return -1;
    }
  } // main()