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88 lines
3.3 KiB
88 lines
3.3 KiB
// Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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#include "decoder/recognizer.h"
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#include "decoder/param.h"
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#include "kaldi/feat/wave-reader.h"
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#include "kaldi/util/table-types.h"
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DEFINE_string(wav_rspecifier, "", "test feature rspecifier");
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DEFINE_string(result_wspecifier, "", "test result wspecifier");
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int main(int argc, char* argv[]) {
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gflags::ParseCommandLineFlags(&argc, &argv, false);
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google::InitGoogleLogging(argv[0]);
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ppspeech::RecognizerResource resource = ppspeech::InitRecognizerResoure();
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ppspeech::Recognizer recognizer(resource);
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kaldi::SequentialTableReader<kaldi::WaveHolder> wav_reader(
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FLAGS_wav_rspecifier);
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kaldi::TokenWriter result_writer(FLAGS_result_wspecifier);
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int sample_rate = 16000;
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float streaming_chunk = FLAGS_streaming_chunk;
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int chunk_sample_size = streaming_chunk * sample_rate;
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LOG(INFO) << "sr: " << sample_rate;
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LOG(INFO) << "chunk size (s): " << streaming_chunk;
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LOG(INFO) << "chunk size (sample): " << chunk_sample_size;
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int32 num_done = 0, num_err = 0;
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for (; !wav_reader.Done(); wav_reader.Next()) {
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std::string utt = wav_reader.Key();
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const kaldi::WaveData& wave_data = wav_reader.Value();
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int32 this_channel = 0;
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kaldi::SubVector<kaldi::BaseFloat> waveform(wave_data.Data(),
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this_channel);
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int tot_samples = waveform.Dim();
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LOG(INFO) << "wav len (sample): " << tot_samples;
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int sample_offset = 0;
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std::vector<kaldi::Vector<BaseFloat>> feats;
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int feature_rows = 0;
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while (sample_offset < tot_samples) {
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int cur_chunk_size =
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std::min(chunk_sample_size, tot_samples - sample_offset);
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kaldi::Vector<kaldi::BaseFloat> wav_chunk(cur_chunk_size);
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for (int i = 0; i < cur_chunk_size; ++i) {
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wav_chunk(i) = waveform(sample_offset + i);
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}
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// wav_chunk = waveform.Range(sample_offset + i, cur_chunk_size);
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recognizer.Accept(wav_chunk);
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if (cur_chunk_size < chunk_sample_size) {
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recognizer.SetFinished();
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}
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recognizer.Decode();
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// no overlap
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sample_offset += cur_chunk_size;
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}
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std::string result;
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result = recognizer.GetFinalResult();
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recognizer.Reset();
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if (result.empty()) {
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// the TokenWriter can not write empty string.
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++num_err;
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KALDI_LOG << " the result of " << utt << " is empty";
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continue;
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}
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KALDI_LOG << " the result of " << utt << " is " << result;
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result_writer.Write(utt, result);
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++num_done;
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}
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} |