parent
c82cf0d086
commit
8ec6a8c0a8
@ -0,0 +1,257 @@
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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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// todo refactor, repalce with gtest
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#include "base/flags.h"
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#include "base/log.h"
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#include "frontend/feature_extractor_interface.h"
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#include "frontend/linear_spectrogram.h"
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#include "frontend/normalizer.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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#include "kaldi/util/table-types.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_{
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-13730251.531853663, -12982852.199316509, -13673844.299583456,
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||||
-13089406.559646806, -12673095.524938712, -12823859.223276224,
|
||||
-13590267.158903603, -14257618.467152044, -14374605.116185192,
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||||
-14490009.21822485, -14849827.158924166, -15354435.470563512,
|
||||
-15834149.206532761, -16172971.985514281, -16348740.496746974,
|
||||
-16423536.699409386, -16556246.263649225, -16744088.772748645,
|
||||
-16916184.08510357, -17054034.840031497, -17165612.509455364,
|
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-17255955.470915023, -17322572.527648456, -17408943.862033736,
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||||
-17521554.799865916, -17620623.254924215, -17699792.395918526,
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-17723364.411134344, -17741483.4433254, -17747426.888704527,
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-17733315.928209435, -17748780.160905756, -17808336.883775543,
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||||
-17895918.671983004, -18009812.59173023, -18098188.66548325,
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||||
-18195798.958462656, -18293617.62980999, -18397432.92077201,
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||||
-18505834.787318766, -18585451.8100908, -18652438.235649142,
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||||
-18700960.306275308, -18734944.58792185, -18737426.313365128,
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||||
-18735347.165987637, -18738813.444170244, -18737086.848890636,
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||||
-18731576.2474336, -18717405.44095871, -18703089.25545657,
|
||||
-18691014.546456724, -18692460.568905357, -18702119.628629155,
|
||||
-18727710.621126678, -18761582.72034647, -18806745.835547544,
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||||
-18850674.8692112, -18884431.510951452, -18919999.992506847,
|
||||
-18939303.799078144, -18952946.273760635, -18980289.22996379,
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||||
-19011610.17803294, -19040948.61805145, -19061021.429847397,
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||||
-19112055.53768819, -19149667.414264943, -19201127.05091321,
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||||
-19270250.82564605, -19334606.883057203, -19390513.336589377,
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||||
-19444176.259208687, -19502755.000038862, -19544333.014549147,
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||||
-19612668.183176614, -19681902.19006569, -19771969.951249883,
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||||
-19873329.723376893, -19996752.59235844, -20110031.131400537,
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||||
-20231658.612529557, -20319378.894054495, -20378534.45718066,
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||||
-20413332.089584175, -20438147.844177883, -20443710.248040095,
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||||
-20465457.02238927, -20488610.969337028, -20516295.16424432,
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||||
-20541423.795738827, -20553192.874953747, -20573605.50701977,
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||||
-20577871.61936797, -20571807.008916274, -20556242.38912231,
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||||
-20542199.30819195, -20521239.063551214, -20519150.80004532,
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||||
-20527204.80248933, -20536933.769257784, -20543470.522332076,
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-20549700.089992985, -20551525.24958494, -20554873.406493705,
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||||
-20564277.65794227, -20572211.740052115, -20574305.69550465,
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-20575494.450104576, -20567092.577932164, -20549302.929608088,
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||||
-20545445.11878376, -20546625.326603737, -20549190.03499401,
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||||
-20554824.947828256, -20568341.378989458, -20577582.331383612,
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||||
-20577980.519402675, -20566603.03458152, -20560131.592262644,
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||||
-20552166.469060015, -20549063.06763577, -20544490.562339947,
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||||
-20539817.82346569, -20528747.715731595, -20518026.24576161,
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||||
-20510977.844974525, -20506874.36087992, -20506731.11977665,
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||||
-20510482.133420516, -20507760.92101862, -20494644.834457114,
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||||
-20480107.89304893, -20461312.091867123, -20442941.75080173,
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-20426123.02834838, -20424607.675283, -20426810.369107097,
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||||
-20434024.50097819, -20437404.75544205, -20447688.63916367,
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||||
-20460893.335563846, -20482922.735127095, -20503610.119434915,
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||||
-20527062.76448319, -20557830.035128627, -20593274.72068722,
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||||
-20632528.452965066, -20673637.471334763, -20733106.97143075,
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||||
-20842921.0447562, -21054357.83621519, -21416569.534189366,
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-21978460.272811692, -22753170.052172784, -23671344.10563395,
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-24613499.293358143, -25406477.12230188, -25884377.82156489,
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-26049040.62791664, -26996879.104431007};
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std::vector<float> variance_{
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213747175.10846674, 188395815.34302503, 212706429.10966414,
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199109025.81461075, 189235901.23864496, 194901336.53253657,
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||||
217481594.29306737, 238689869.12327808, 243977501.24115244,
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248479623.6431067, 259766741.47116545, 275516766.7790273,
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291271202.3691234, 302693239.8220509, 308627358.3997694,
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311143911.38788426, 315446105.07731867, 321705430.9341829,
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327458907.4659941, 332245072.43223983, 336251717.5935284,
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||||
339694069.7639722, 342188204.4322228, 345587110.31313115,
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||||
349903086.2875232, 353660214.20643026, 356700344.5270885,
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||||
357665362.3529641, 358493352.05658793, 358857951.620328,
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358375239.52774596, 358899733.6342954, 361051818.3511561,
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364361716.05025816, 368750322.3771452, 372047800.6462831,
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375655861.1349018, 379358519.1980013, 383327605.3935181,
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387458599.282341, 390434692.3406868, 392994486.35057056,
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||||
394874418.04603153, 396230525.79763395, 396365592.0414835,
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||||
396334819.8242737, 396488353.19250053, 396438877.00744957,
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396197980.4459586, 395590921.6672991, 395001107.62072515,
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394528291.7318225, 394593110.424006, 395018405.59353715,
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396110577.5415993, 397506704.0371068, 399400197.4657644,
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||||
401243568.2468382, 402687134.7805103, 404136047.2872507,
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404883170.001883, 405522253.219517, 406660365.3626476,
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407919346.0991902, 409045348.5384909, 409759588.7889818,
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411974821.8564483, 413489718.78201455, 415535392.56684107,
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418466481.97674364, 421104678.35678065, 423405392.5200779,
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425550570.40798235, 427929423.9579701, 429585274.253478,
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||||
432368493.55181056, 435193587.13513297, 438886855.20476013,
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||||
443058876.8633751, 448181232.5093362, 452883835.6332396,
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458056721.77926534, 461816531.22735566, 464363620.1970998,
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465886343.5057493, 466928872.0651, 467180536.42647296,
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||||
468111848.70714295, 469138695.3071312, 470378429.6930793,
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||||
471517958.7132626, 472109050.4262365, 473087417.0177867,
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||||
473381322.04648733, 473220195.85483915, 472666071.8998819,
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472124669.87879956, 471298571.411737, 471251033.2902761,
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471672676.43128747, 472177147.2193172, 472572361.7711908,
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472968783.7751127, 473156295.4164052, 473398034.82676554,
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473897703.5203811, 474328271.33112127, 474452670.98002136,
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474549003.99284613, 474252887.13567275, 473557462.909069,
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473483385.85193115, 473609738.04855174, 473746944.82085115,
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474016729.91696435, 474617321.94138587, 475045097.237122,
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475125402.586558, 474664112.9824912, 474426247.5800283,
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474104075.42796475, 473978219.7273978, 473773171.7798875,
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473578534.69508696, 473102924.16904145, 472651240.5232615,
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472374383.1810912, 472209479.6956096, 472202298.8921673,
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472370090.76781124, 472220933.99374026, 471625467.37106377,
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470994646.51883453, 470182428.9637543, 469348211.5939578,
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468570387.4467277, 468540442.7225135, 468672018.90414184,
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468994346.9533251, 469138757.58201426, 469553915.95710236,
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470134523.38582784, 471082421.62055486, 471962316.51804745,
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472939745.1708408, 474250621.5944825, 475773933.43199486,
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477465399.71087736, 479218782.61382693, 481752299.7930922,
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486608947.8984568, 496119403.2067917, 512730085.5704984,
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539048915.2641417, 576285298.3548826, 621610270.2240586,
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669308196.4436442, 710656993.5957186, 736344437.3725077,
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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(
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FLAGS_wav_rspecifier);
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kaldi::BaseFloatMatrixWriter feat_writer(FLAGS_feature_wspecifier);
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kaldi::BaseFloatMatrixWriter feat_cmvn_check_writer(
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FLAGS_feature_check_wspecifier);
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WriteMatrix();
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// test feature linear_spectorgram: wave --> decibel_normalizer --> hanning
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// window -->linear_spectrogram --> cmvn
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int32 num_done = 0, num_err = 0;
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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));
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ppspeech::LinearSpectrogram linear_spectrogram(
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opt, std::move(base_feature_extractor));
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ppspeech::CMVN cmvn(FLAGS_cmvn_write_path);
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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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LOG(INFO) << mean_.size();
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for (size_t i = 0; i < mean_.size(); i++) {
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mean_[i] /= count_;
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variance_[i] = variance_[i] / count_ - mean_[i] * mean_[i];
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if (variance_[i] < 1.0e-20) {
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variance_[i] = 1.0e-20;
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}
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variance_[i] = 1.0 / std::sqrt(variance_[i]);
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}
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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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int sample_offset = 0;
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std::vector<kaldi::Matrix<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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kaldi::Matrix<BaseFloat> features;
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linear_spectrogram.AcceptWaveform(wav_chunk);
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linear_spectrogram.ReadFeats(&features);
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feats.push_back(features);
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sample_offset += cur_chunk_size;
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feature_rows += features.NumRows();
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}
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int cur_idx = 0;
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kaldi::Matrix<kaldi::BaseFloat> features(feature_rows,
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feats[0].NumCols());
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for (auto feat : feats) {
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for (int row_idx = 0; row_idx < feat.NumRows(); ++row_idx) {
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for (int col_idx = 0; col_idx < feat.NumCols(); ++col_idx) {
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features(cur_idx, col_idx) =
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(feat(row_idx, col_idx) - mean_[col_idx]) *
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variance_[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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cur_idx = 0;
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kaldi::Matrix<kaldi::BaseFloat> features_check(feature_rows,
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feats[0].NumCols());
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for (auto feat : feats) {
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for (int row_idx = 0; row_idx < feat.NumRows(); ++row_idx) {
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for (int col_idx = 0; col_idx < feat.NumCols(); ++col_idx) {
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features_check(cur_idx, col_idx) = feat(row_idx, col_idx);
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}
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kaldi::SubVector<BaseFloat> row_feat(features_check, cur_idx);
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cmvn.ApplyCMVN(true, &row_feat);
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++cur_idx;
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}
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}
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feat_cmvn_check_writer.Write(utt, features_check);
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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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@ -0,0 +1,56 @@
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// todo refactor, repalce with gtest
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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 "kaldi/util/table-types.h"
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#include "base/log.h"
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#include "base/flags.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(cmvn_path, "./cmvn.ark", "test wav ark");
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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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// test feature linear_spectorgram: wave --> decibel_normalizer --> hanning window -->linear_spectrogram --> cmvn
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// --> feature_cache
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int32 num_done = 0, num_err = 0;
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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));
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std::shared_ptr<ppspeech::FeatureExtractorInterface> linear_spectrogram(
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new ppspeech::LinearSpectrogram(opt, base_feature_extractor));
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std::shared_ptr<ppspeech::FeatureExtractorInterface> cmvn(
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new ppspeech::CMVN(FLAGS_cmvn_path, linear_spectrogram);
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ppspeech::FeatureCache(cmvn);
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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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// thread 1 feed feature
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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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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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Loading…
Reference in new issue