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PaddleSpeech/runtime/engine/asr/recognizer/recognizer_batch_main.cc

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// Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
//
// 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
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
#include "common/base/thread_pool.h"
#include "common/utils/file_utils.h"
#include "common/utils/strings.h"
#include "decoder/param.h"
#include "frontend/wave-reader.h"
#include "kaldi/util/table-types.h"
#include "nnet/u2_nnet.h"
#include "recognizer/u2_recognizer.h"
#include "recognizer/recognizer_controller.h"
DEFINE_string(wav_rspecifier, "", "test feature rspecifier");
DEFINE_string(result_wspecifier, "", "test result wspecifier");
DEFINE_double(streaming_chunk, 0.36, "streaming feature chunk size");
DEFINE_int32(sample_rate, 16000, "sample rate");
DEFINE_int32(njob, 3, "njob");
using std::string;
using std::vector;
void SplitUtt(string wavlist_file,
vector<vector<string>>* uttlists,
vector<vector<string>>* wavlists,
int njob) {
vector<string> wavlist;
wavlists->resize(njob);
uttlists->resize(njob);
ppspeech::ReadFileToVector(wavlist_file, &wavlist);
for (size_t idx = 0; idx < wavlist.size(); ++idx) {
string utt_str = wavlist[idx];
vector<string> utt_wav = ppspeech::StrSplit(utt_str, " \t");
LOG(INFO) << utt_wav[0];
CHECK_EQ(utt_wav.size(), size_t(2));
uttlists->at(idx % njob).push_back(utt_wav[0]);
wavlists->at(idx % njob).push_back(utt_wav[1]);
}
}
void recognizer_func(ppspeech::RecognizerController* recognizer_controller,
std::vector<string> wavlist,
std::vector<string> uttlist,
std::vector<string>* results) {
int32 num_done = 0, num_err = 0;
double tot_wav_duration = 0.0;
double tot_attention_rescore_time = 0.0;
double tot_decode_time = 0.0;
int chunk_sample_size = FLAGS_streaming_chunk * FLAGS_sample_rate;
if (wavlist.empty()) return;
results->reserve(wavlist.size());
for (size_t idx = 0; idx < wavlist.size(); ++idx) {
std::string utt = uttlist[idx];
std::string wav_file = wavlist[idx];
std::ifstream infile;
infile.open(wav_file, std::ifstream::in);
kaldi::WaveData wave_data;
wave_data.Read(infile);
int32 recog_id = -1;
while (recog_id != -1) {
recog_id = recognizer_controller->GetRecognizerInstanceId();
}
LOG(INFO) << "utt: " << utt;
LOG(INFO) << "wav dur: " << wave_data.Duration() << " sec.";
double dur = wave_data.Duration();
tot_wav_duration += dur;
int32 this_channel = 0;
kaldi::SubVector<kaldi::BaseFloat> waveform(wave_data.Data(),
this_channel);
int tot_samples = waveform.Dim();
LOG(INFO) << "wav len (sample): " << tot_samples;
int sample_offset = 0;
kaldi::Timer local_timer;
while (sample_offset < tot_samples) {
int cur_chunk_size =
std::min(chunk_sample_size, tot_samples - sample_offset);
std::vector<kaldi::BaseFloat> wav_chunk(cur_chunk_size);
for (int i = 0; i < cur_chunk_size; ++i) {
wav_chunk[i] = waveform(sample_offset + i);
}
recognizer_controller->Accept(wav_chunk, recog_id);
if (cur_chunk_size < chunk_sample_size) {
recognizer_controller->SetInputFinished(recog_id);
}
// no overlap
sample_offset += cur_chunk_size;
}
CHECK(sample_offset == tot_samples);
std::string result = recognizer_controller->GetFinalResult(recog_id);
if (result.empty()) {
// the TokenWriter can not write empty string.
++num_err;
LOG(INFO) << " the result of " << utt << " is empty";
result = " ";
}
tot_decode_time += local_timer.Elapsed();
LOG(INFO) << utt << " " << result;
LOG(INFO) << " RTF: " << local_timer.Elapsed() / dur << " dur: " << dur
<< " cost: " << local_timer.Elapsed();
results->push_back(result);
++num_done;
}
LOG(INFO) << "Done " << num_done << " out of " << (num_err + num_done);
LOG(INFO) << "total wav duration is: " << tot_wav_duration << " sec";
LOG(INFO) << "total decode cost:" << tot_decode_time << " sec";
LOG(INFO) << "RTF is: " << tot_decode_time / tot_wav_duration;
}
int main(int argc, char* argv[]) {
gflags::SetUsageMessage("Usage:");
gflags::ParseCommandLineFlags(&argc, &argv, false);
google::InitGoogleLogging(argv[0]);
google::InstallFailureSignalHandler();
FLAGS_logtostderr = 1;
int sample_rate = FLAGS_sample_rate;
float streaming_chunk = FLAGS_streaming_chunk;
int chunk_sample_size = streaming_chunk * sample_rate;
kaldi::TokenWriter result_writer(FLAGS_result_wspecifier);
int njob = FLAGS_njob;
LOG(INFO) << "sr: " << sample_rate;
LOG(INFO) << "chunk size (s): " << streaming_chunk;
LOG(INFO) << "chunk size (sample): " << chunk_sample_size;
ppspeech::U2RecognizerResource resource =
ppspeech::U2RecognizerResource::InitFromFlags();
ppspeech::RecognizerController recognizer_controller(njob, resource);
ThreadPool threadpool(njob);
vector<vector<string>> wavlist;
vector<vector<string>> uttlist;
vector<vector<string>> resultlist(njob);
vector<std::future<void>> futurelist;
SplitUtt(FLAGS_wav_rspecifier, &uttlist, &wavlist, njob);
for (size_t i = 0; i < njob; ++i) {
std::future<void> f = threadpool.enqueue(recognizer_func,
&recognizer_controller,
wavlist[i],
uttlist[i],
&resultlist[i]);
futurelist.push_back(std::move(f));
}
for (size_t i = 0; i < njob; ++i) {
futurelist[i].get();
}
for (size_t idx = 0; idx < njob; ++idx) {
for (size_t utt_idx = 0; utt_idx < uttlist[idx].size(); ++utt_idx) {
string utt = uttlist[idx][utt_idx];
string result = resultlist[idx][utt_idx];
result_writer.Write(utt, result);
}
}
return 0;
}