SmileGoat
4 years ago
parent
ac0e417032
commit
c769d90781
@ -1,109 +0,0 @@
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// todo refactor, repalce with gtest
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#include "base/log.h"
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#include "base/flags.h"
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#include "frontend/linear_spectrogram.h"
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#include "frontend/normalizer.h"
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#include "frontend/feature_extractor_interface.h"
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#include "frontend/raw_audio.h"
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#include "kaldi/util/table-types.h"
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#include "kaldi/feat/wave-reader.h"
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#include "kaldi/util/kaldi-io.h"
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DEFINE_string(wav_rspecifier, "", "test wav path");
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DEFINE_string(feature_wspecifier, "", "test wav ark");
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DEFINE_string(feature_check_wspecifier, "", "test wav ark");
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DEFINE_string(cmvn_write_path, "./cmvn.ark", "test wav ark");
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std::vector<float> mean_{-13730251.531853663, -12982852.199316509, -13673844.299583456, -13089406.559646806, -12673095.524938712, -12823859.223276224, -13590267.158903603, -14257618.467152044, -14374605.116185192, -14490009.21822485, -14849827.158924166, -15354435.470563512, -15834149.206532761, -16172971.985514281, -16348740.496746974, -16423536.699409386, -16556246.263649225, -16744088.772748645, -16916184.08510357, -17054034.840031497, -17165612.509455364, -17255955.470915023, -17322572.527648456, -17408943.862033736, -17521554.799865916, -17620623.254924215, -17699792.395918526, -17723364.411134344, -17741483.4433254, -17747426.888704527, -17733315.928209435, -17748780.160905756, -17808336.883775543, -17895918.671983004, -18009812.59173023, -18098188.66548325, -18195798.958462656, -18293617.62980999, -18397432.92077201, -18505834.787318766, -18585451.8100908, -18652438.235649142, -18700960.306275308, -18734944.58792185, -18737426.313365128, -18735347.165987637, -18738813.444170244, -18737086.848890636, -18731576.2474336, -18717405.44095871, -18703089.25545657, -18691014.546456724, -18692460.568905357, -18702119.628629155, -18727710.621126678, -18761582.72034647, -18806745.835547544, -18850674.8692112, -18884431.510951452, -18919999.992506847, -18939303.799078144, -18952946.273760635, -18980289.22996379, -19011610.17803294, -19040948.61805145, -19061021.429847397, -19112055.53768819, -19149667.414264943, -19201127.05091321, -19270250.82564605, -19334606.883057203, -19390513.336589377, -19444176.259208687, -19502755.000038862, -19544333.014549147, -19612668.183176614, -19681902.19006569, -19771969.951249883, -19873329.723376893, -19996752.59235844, -20110031.131400537, -20231658.612529557, -20319378.894054495, -20378534.45718066, -20413332.089584175, -20438147.844177883, -20443710.248040095, -20465457.02238927, -20488610.969337028, -20516295.16424432, -20541423.795738827, -20553192.874953747, -20573605.50701977, -20577871.61936797, -20571807.008916274, -20556242.38912231, -20542199.30819195, -20521239.063551214, -20519150.80004532, -20527204.80248933, -20536933.769257784, -20543470.522332076, -20549700.089992985, -20551525.24958494, -20554873.406493705, -20564277.65794227, -20572211.740052115, -20574305.69550465, -20575494.450104576, -20567092.577932164, -20549302.929608088, -20545445.11878376, -20546625.326603737, -20549190.03499401, -20554824.947828256, -20568341.378989458, -20577582.331383612, -20577980.519402675, -20566603.03458152, -20560131.592262644, -20552166.469060015, -20549063.06763577, -20544490.562339947, -20539817.82346569, -20528747.715731595, -20518026.24576161, -20510977.844974525, -20506874.36087992, -20506731.11977665, -20510482.133420516, -20507760.92101862, -20494644.834457114, -20480107.89304893, -20461312.091867123, -20442941.75080173, -20426123.02834838, -20424607.675283, -20426810.369107097, -20434024.50097819, -20437404.75544205, -20447688.63916367, -20460893.335563846, -20482922.735127095, -20503610.119434915, -20527062.76448319, -20557830.035128627, -20593274.72068722, -20632528.452965066, -20673637.471334763, -20733106.97143075, -20842921.0447562, -21054357.83621519, -21416569.534189366, -21978460.272811692, -22753170.052172784, -23671344.10563395, -24613499.293358143, -25406477.12230188, -25884377.82156489, -26049040.62791664, -26996879.104431007};
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std::vector<float> variance_{213747175.10846674, 188395815.34302503, 212706429.10966414, 199109025.81461075, 189235901.23864496, 194901336.53253657, 217481594.29306737, 238689869.12327808, 243977501.24115244, 248479623.6431067, 259766741.47116545, 275516766.7790273, 291271202.3691234, 302693239.8220509, 308627358.3997694, 311143911.38788426, 315446105.07731867, 321705430.9341829, 327458907.4659941, 332245072.43223983, 336251717.5935284, 339694069.7639722, 342188204.4322228, 345587110.31313115, 349903086.2875232, 353660214.20643026, 356700344.5270885, 357665362.3529641, 358493352.05658793, 358857951.620328, 358375239.52774596, 358899733.6342954, 361051818.3511561, 364361716.05025816, 368750322.3771452, 372047800.6462831, 375655861.1349018, 379358519.1980013, 383327605.3935181, 387458599.282341, 390434692.3406868, 392994486.35057056, 394874418.04603153, 396230525.79763395, 396365592.0414835, 396334819.8242737, 396488353.19250053, 396438877.00744957, 396197980.4459586, 395590921.6672991, 395001107.62072515, 394528291.7318225, 394593110.424006, 395018405.59353715, 396110577.5415993, 397506704.0371068, 399400197.4657644, 401243568.2468382, 402687134.7805103, 404136047.2872507, 404883170.001883, 405522253.219517, 406660365.3626476, 407919346.0991902, 409045348.5384909, 409759588.7889818, 411974821.8564483, 413489718.78201455, 415535392.56684107, 418466481.97674364, 421104678.35678065, 423405392.5200779, 425550570.40798235, 427929423.9579701, 429585274.253478, 432368493.55181056, 435193587.13513297, 438886855.20476013, 443058876.8633751, 448181232.5093362, 452883835.6332396, 458056721.77926534, 461816531.22735566, 464363620.1970998, 465886343.5057493, 466928872.0651, 467180536.42647296, 468111848.70714295, 469138695.3071312, 470378429.6930793, 471517958.7132626, 472109050.4262365, 473087417.0177867, 473381322.04648733, 473220195.85483915, 472666071.8998819, 472124669.87879956, 471298571.411737, 471251033.2902761, 471672676.43128747, 472177147.2193172, 472572361.7711908, 472968783.7751127, 473156295.4164052, 473398034.82676554, 473897703.5203811, 474328271.33112127, 474452670.98002136, 474549003.99284613, 474252887.13567275, 473557462.909069, 473483385.85193115, 473609738.04855174, 473746944.82085115, 474016729.91696435, 474617321.94138587, 475045097.237122, 475125402.586558, 474664112.9824912, 474426247.5800283, 474104075.42796475, 473978219.7273978, 473773171.7798875, 473578534.69508696, 473102924.16904145, 472651240.5232615, 472374383.1810912, 472209479.6956096, 472202298.8921673, 472370090.76781124, 472220933.99374026, 471625467.37106377, 470994646.51883453, 470182428.9637543, 469348211.5939578, 468570387.4467277, 468540442.7225135, 468672018.90414184, 468994346.9533251, 469138757.58201426, 469553915.95710236, 470134523.38582784, 471082421.62055486, 471962316.51804745, 472939745.1708408, 474250621.5944825, 475773933.43199486, 477465399.71087736, 479218782.61382693, 481752299.7930922, 486608947.8984568, 496119403.2067917, 512730085.5704984, 539048915.2641417, 576285298.3548826, 621610270.2240586, 669308196.4436442, 710656993.5957186, 736344437.3725077, 745481288.0241544, 801121432.9925804};
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int count_ = 912592;
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void WriteMatrix() {
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kaldi::Matrix<double> cmvn_stats(2, mean_.size()+ 1);
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for (size_t idx = 0; idx < mean_.size(); ++idx) {
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cmvn_stats(0, idx) = mean_[idx];
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cmvn_stats(1, idx) = variance_[idx];
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}
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cmvn_stats(0, mean_.size()) = count_;
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kaldi::WriteKaldiObject(cmvn_stats, FLAGS_cmvn_write_path, true);
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}
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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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kaldi::SequentialTableReader<kaldi::WaveHolder> wav_reader(FLAGS_wav_rspecifier);
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kaldi::BaseFloatMatrixWriter feat_writer(FLAGS_feature_wspecifier);
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WriteMatrix();
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// test feature linear_spectorgram: wave --> decibel_normalizer --> hanning window -->linear_spectrogram --> cmvn
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int32 num_done = 0, num_err = 0;
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std::unique_ptr<ppspeech::FeatureExtractorInterface> data_source(new ppspeech::RawDataSource());
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ppspeech::LinearSpectrogramOptions opt;
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opt.frame_opts.frame_length_ms = 20;
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opt.frame_opts.frame_shift_ms = 10;
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ppspeech::DecibelNormalizerOptions db_norm_opt;
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std::unique_ptr<ppspeech::FeatureExtractorInterface> base_feature_extractor(
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new ppspeech::DecibelNormalizer(db_norm_opt, std::move(data_source)));
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std::unique_ptr<ppspeech::FeatureExtractorInterface> linear_spectrogram(
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new ppspeech::LinearSpectrogram(opt, std::move(base_feature_extractor)));
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ppspeech::CMVN cmvn(FLAGS_cmvn_write_path, std::move(linear_spectrogram));
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float streaming_chunk = 0.36;
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int sample_rate = 16000;
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int chunk_sample_size = streaming_chunk * sample_rate;
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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(), this_channel);
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int tot_samples = waveform.Dim();
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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 = 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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kaldi::Vector<BaseFloat> features;
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cmvn.AcceptWaveform(wav_chunk);
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cmvn.Read(&features);
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std::cout << wav_chunk(0) << std::endl;
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std::cout << features(0) << std::endl;
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feats.push_back(features);
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sample_offset += cur_chunk_size;
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feature_rows += features.Dim() / cmvn.Dim();
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}
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int cur_idx = 0;
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kaldi::Matrix<kaldi::BaseFloat> features(feature_rows, cmvn.Dim());
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for (auto feat : feats) {
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int num_rows = feat.Dim() / cmvn.Dim();
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for (int row_idx = 0; row_idx < num_rows; ++row_idx) {
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for (int col_idx = 0; col_idx < cmvn.Dim(); ++col_idx) {
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features(cur_idx, col_idx) = feat(row_idx*cmvn.Dim() + col_idx);
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}
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++cur_idx;
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}
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}
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feat_writer.Write(utt, features);
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if (num_done % 50 == 0 && num_done != 0)
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KALDI_VLOG(2) << "Processed " << num_done << " utterances";
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num_done++;
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}
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KALDI_LOG << "Done " << num_done << " utterances, " << num_err
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<< " with errors.";
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return (num_done != 0 ? 0 : 1);
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}
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@ -1,38 +1,84 @@
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// 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 "frontend/feature_cache.h"
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void FeatureCache::AcceptWaveform(const kaldi::VectorBase<kaldi::BaseFloat>& input) {
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namespace ppspeech {
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using kaldi::Vector;
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using kaldi::VectorBase;
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using kaldi::BaseFloat;
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using std::vector;
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using kaldi::SubVector;
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using std::unique_ptr;
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FeatureCache::FeatureCache(
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int max_size, unique_ptr<FeatureExtractorInterface> base_extractor) {
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max_size_ = max_size;
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base_extractor_ = std::move(base_extractor);
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}
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void FeatureCache::AcceptWaveform(
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const kaldi::VectorBase<kaldi::BaseFloat>& input) {
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base_extractor_->AcceptWaveform(input);
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// feed current data
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while (base_extractor_->IsLastFrame()) {
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Compute();
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}
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bool result = false;
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do {
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result = Compute();
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} while (result);
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}
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// pop feature chunk
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void FeatureCache::Read(kaldi::VectorBase<kaldi::BaseFloat>* feat) {
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std::lock_guard<std::mutex> lock(mutex_);
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while (cache_.empty()) {
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// pop feature chunk
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bool FeatureCache::Read(kaldi::Vector<kaldi::BaseFloat>* feat) {
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kaldi::Timer timer;
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std::unique_lock<std::mutex> lock(mutex_);
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while (cache_.empty() && base_extractor_->IsFinished() == false) {
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ready_read_condition_.wait(lock);
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BaseFloat elapsed = timer.Elapsed() * 1000;
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// todo replace 1.0 with timeout_
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if (elapsed > 1.0) {
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return false;
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}
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usleep(1000); // sleep 1 ms
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}
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if (cache_.empty()) return false;
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feat->Resize(cache_.front().Dim());
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feat->CopyFromVec(cache_.front());
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cache_.pop();
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ready_feed_condition_.notify_one();
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return true;
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}
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// read all data from base_feature_extractor_ into cache_
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void FeatureCache::Compute() {
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bool FeatureCache::Compute() {
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// compute and feed
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Vector<BaseFloat> feature_chunk(base_extractor_->Dim());
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base_extractor_->Read(&feature_chunk);
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std::lock_guard<std::mutex> lock(mutex_);
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Vector<BaseFloat> feature_chunk;
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bool result = base_extractor_->Read(&feature_chunk);
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std::unique_lock<std::mutex> lock(mutex_);
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while (cache_.size() >= max_size_) {
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ready_feed_condition_.wait(lock);
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}
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cache_.push(feature_chunk);
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if (feature_chunk.Dim() != 0) {
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cache_.push(feature_chunk);
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}
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ready_read_condition_.notify_one();
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return result;
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}
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// compute the last chunk data && set feed finished
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void FeatureCache::InputFinishd() {
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Compute();
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void Reset() {
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// std::lock_guard<std::mutex> lock(mutex_);
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return;
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}
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} // namespace ppspeech
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@ -1,21 +1,48 @@
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// 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 "base/common.h"
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#include "frontend/feature_extractor_interface.h"
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class FeatureCache {
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namespace ppspeech {
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class FeatureCache : public FeatureExtractorInterface {
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public:
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explicit FeatureCache(FeatureExtractorInterface base_extractor);
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void AcceptWaveform(const kaldi::VectorBase<kaldi::BaseFloat>& input);
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void Read(kaldi::VectorBase<kaldi::BaseFloat>* feat);
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void Dim() { return base_extractor_->Dim(); }
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void SetFinished();
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bool IsFinished();
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explicit FeatureCache(
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int32 max_size = kint16max,
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std::unique_ptr<FeatureExtractorInterface> base_extractor = NULL);
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virtual void AcceptWaveform(
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const kaldi::VectorBase<kaldi::BaseFloat>& input);
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virtual bool Read(kaldi::Vector<kaldi::BaseFloat>* feat);
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virtual size_t Dim() const { return base_extractor_->Dim(); }
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virtual void SetFinished() {
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base_extractor_->SetFinished();
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Compute();
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}
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virtual bool IsFinished() const { return base_extractor_->IsFinished(); }
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private:
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bool Compute();
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bool finished_;
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mutable std::mutex mutex_;
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size_t max_size;
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std::mutex mutex_;
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size_t max_size_;
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std::queue<kaldi::Vector<BaseFloat>> cache_;
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std::shared_ptr<FeatureExtractorInterface> base_extractor_;
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std::unique_ptr<FeatureExtractorInterface> base_extractor_;
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std::condition_variable ready_feed_condition_;
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std::condition_variable ready_read_condition_;
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DISALLOW_COPY_AND_ASSGIN(FeatureCache);
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};
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// DISALLOW_COPY_AND_ASSGIN(FeatureCache);
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};
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} // namespace ppspeech
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@ -1,60 +1,85 @@
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// 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
|
||||
//
|
||||
// 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 "frontend/raw_audio.h"
|
||||
#include "kaldi/base/timer.h"
|
||||
|
||||
namespace ppspeech {
|
||||
|
||||
RawAudioSource::RawAudioSource(int buffer_size = 65536)
|
||||
: finished_(false),
|
||||
data_length_(0),
|
||||
start_(0),
|
||||
timeout_(5) {
|
||||
ring_buffer_.resize(buffer_size);
|
||||
}
|
||||
|
||||
// todo length > buffer size, condition_var
|
||||
bool RawAudioSource::AcceptWaveform(const VectorBase<BaseFloat>& data) {
|
||||
std::lock_guard<std::mutex> lock(mutex_);
|
||||
for (size_t idx = 0; idx < data.Dim(); ++idx) {
|
||||
ring_buffer_[idx % ring_buffer_.size()] = data(idx);
|
||||
}
|
||||
data_length_ += length;
|
||||
using kaldi::BaseFloat;
|
||||
using kaldi::VectorBase;
|
||||
using kaldi::Vector;
|
||||
|
||||
RawAudioSource::RawAudioSource(int buffer_size)
|
||||
: finished_(false), data_length_(0), start_(0), timeout_(1) {
|
||||
ring_buffer_.resize(buffer_size);
|
||||
}
|
||||
|
||||
// todo length > buffer size
|
||||
//bool RawAudioSource::AcceptWaveform(BaseFloat* data, int length) {
|
||||
//std::lock_guard<std::mutex> lock(mutex_);
|
||||
//for (size_t idx = 0; idx < length; ++idx) {
|
||||
//ring_buffer_[idx % ring_buffer_.size()] = data[idx];
|
||||
//}
|
||||
//data_length_ += length;
|
||||
//finish_condition_.notify_one();
|
||||
void RawAudioSource::AcceptWaveform(const VectorBase<BaseFloat>& data) {
|
||||
std::unique_lock<std::mutex> lock(mutex_);
|
||||
while (data_length_ + data.Dim() > ring_buffer_.size()) {
|
||||
ready_feed_condition_.wait(lock);
|
||||
}
|
||||
for (size_t idx = 0; idx < data.Dim(); ++idx) {
|
||||
ring_buffer_[idx % ring_buffer_.size()] = data(idx);
|
||||
}
|
||||
data_length_ += data.Dim();
|
||||
ready_read_condition_.notify_one();
|
||||
}
|
||||
|
||||
// bool RawAudioSource::AcceptWaveform(BaseFloat* data, int length) {
|
||||
// std::unique_lock<std::mutex> lock(mutex_);
|
||||
// for (size_t idx = 0; idx < length; ++idx) {
|
||||
// ring_buffer_[idx % ring_buffer_.size()] = data[idx];
|
||||
//}
|
||||
// data_length_ += length;
|
||||
// finish_condition_.notify_one();
|
||||
//}
|
||||
|
||||
bool RawAudioSource::Read(Vector<BaseFloat>* feats) {
|
||||
size_t chunk_size = feats->Dim();
|
||||
Timer timer;
|
||||
if (chunk_size > data_length_) {
|
||||
while (true) {
|
||||
int32 elapsed = static_cat<int32>(timer.Elapsed() * 1000);
|
||||
if (finished_ || > timeout_) {
|
||||
bool RawAudioSource::Read(Vector<BaseFloat>* feat) {
|
||||
size_t chunk_size = feat->Dim();
|
||||
kaldi::Timer timer;
|
||||
std::unique_lock<std::mutex> lock(mutex_);
|
||||
while (chunk_size > data_length_) {
|
||||
// when audio is empty and no more data feed
|
||||
// ready_read_condition will block in dead lock.
|
||||
// ready_read_condition_.wait(lock);
|
||||
int32 elapsed = static_cast<int32>(timer.Elapsed() * 1000);
|
||||
if (elapsed > timeout_) {
|
||||
if (finished_ == true) { // read last chunk data
|
||||
break;
|
||||
}
|
||||
if (chunk_size > data_length_) {
|
||||
return false;
|
||||
}
|
||||
}
|
||||
usleep(100); // sleep 0.1 ms
|
||||
}
|
||||
|
||||
// read last chunk data
|
||||
if (chunk_size > data_length_) {
|
||||
chunk_size = data_length_;
|
||||
feats->Resize(chunk_size);
|
||||
break;
|
||||
}
|
||||
sleep(1);
|
||||
feat->Resize(chunk_size);
|
||||
}
|
||||
}
|
||||
std::lock_guard<std::mutex> lock(mutex_);
|
||||
for (size_t idx = 0; idx < chunk_size; ++idx) {
|
||||
feats->Data()[idx] = ring_buffer_[idx];
|
||||
}
|
||||
data_length_ -= chunk_size;
|
||||
start_ = (start_ + chunk_size) % ring_buffer_.size();
|
||||
finish_condition_.notify_one();
|
||||
}
|
||||
|
||||
//size_t RawAudioSource::GetDataLength() {
|
||||
// return data_length_;
|
||||
//}
|
||||
for (size_t idx = 0; idx < chunk_size; ++idx) {
|
||||
feat->Data()[idx] = ring_buffer_[idx];
|
||||
}
|
||||
data_length_ -= chunk_size;
|
||||
start_ = (start_ + chunk_size) % ring_buffer_.size();
|
||||
ready_feed_condition_.notify_one();
|
||||
return true;
|
||||
}
|
||||
|
||||
} // namespace ppspeech
|
||||
} // namespace ppspeech
|
||||
@ -1,34 +1,77 @@
|
||||
// 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.
|
||||
|
||||
|
||||
#pragma once
|
||||
|
||||
#include "frontend/feature_extractor_interface.h"
|
||||
#include "base/common.h"
|
||||
#include "frontend/feature_extractor_interface.h"
|
||||
|
||||
#pragma once
|
||||
|
||||
namespace ppspeech {
|
||||
|
||||
class RawAudioSource {
|
||||
class RawAudioSource : public FeatureExtractorInterface {
|
||||
public:
|
||||
RawAudioSource(int buffer_size = kint16max);
|
||||
virtual void AcceptWaveform(kaldi::BaseFloat* data, int length);
|
||||
void AcceptWaveformByByte(char* data, lnt length) {}
|
||||
void AcceptWaveformByShort(kaldi::int16* data, int length) {}
|
||||
|
||||
// read chunk data in buffer
|
||||
bool Read(VectorBase<BaseFloat>* feats);
|
||||
void SetFinished() { finished_ = true; }
|
||||
bool IsFinished() { return finished_; }
|
||||
explicit RawAudioSource(int buffer_size = kint16max);
|
||||
virtual void AcceptWaveform(const kaldi::VectorBase<BaseFloat>& data);
|
||||
virtual bool Read(kaldi::Vector<kaldi::BaseFloat>* feat);
|
||||
virtual size_t Dim() const { return data_length_; }
|
||||
virtual void SetFinished() {
|
||||
std::lock_guard<std::mutex> lock(mutex_);
|
||||
finished_ = true;
|
||||
}
|
||||
virtual bool IsFinished() const { return finished_; }
|
||||
|
||||
private:
|
||||
vector<kaldi::BaseFloat> ring_buffer_;
|
||||
std::vector<kaldi::BaseFloat> ring_buffer_;
|
||||
size_t start_;
|
||||
size_t data_length_;
|
||||
bool finished_;
|
||||
mutable std::mutex mutext_;
|
||||
mutable std::mutex mutex_;
|
||||
std::condition_variable ready_read_condition_;
|
||||
std::condition_variable ready_feed_condition_;
|
||||
kaldi::int32 timeout_;
|
||||
|
||||
DISALLOW_COPY_AND_ASSIGN(RawAudioSource);
|
||||
};
|
||||
|
||||
// it is a datasource for testing different frontend module.
|
||||
class RawDataSource : public FeatureExtractorInterface {
|
||||
public:
|
||||
explicit RawDataSource() { finished_ = false; }
|
||||
virtual void AcceptWaveform(
|
||||
const kaldi::VectorBase<kaldi::BaseFloat>& input) {
|
||||
data_ = input;
|
||||
}
|
||||
virtual bool Read(kaldi::Vector<kaldi::BaseFloat>* feat) {
|
||||
if (data_.Dim() == 0) {
|
||||
return false;
|
||||
}
|
||||
(*feat) = data_;
|
||||
data_.Resize(0);
|
||||
return true;
|
||||
}
|
||||
virtual size_t Dim() const { return data_.Dim(); }
|
||||
virtual void SetFinished() { finished_ = true; }
|
||||
virtual bool IsFinished() const { return finished_; }
|
||||
|
||||
private:
|
||||
kaldi::Vector<kaldi::BaseFloat> data_;
|
||||
bool finished_;
|
||||
|
||||
DISALLOW_COPY_AND_ASSIGN(RawDataSource);
|
||||
};
|
||||
|
||||
} // namespace ppspeech
|
||||
} // namespace ppspeech
|
||||
Loading…
Reference in new issue