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Created with Raphaël 2.2.022Feb85130Jan124Aug1817111020May15Apr141312111098542126Mar25232212Mar22Jan1828Jun29May17Oct420Sep1715141382120Aug181716151487543128Jul262423222120Remove outdated TRAINING-READMEmainmainAdded gitlab CI check for mingw/Windows build.gitlab-ci-mingwgitlab-ci-mingwMade model downloading optional in autogen.sh using a --no-download option.model-download-…model-download-separateList all export library symbols at the end of the build.Fix -Wstrict-prototypesm4: fix -Wstrict-protoypesIn rnnoise_init(), use rnnoise_get_size() for size of zeroed structissue-1issue-1Added gitlab CI script building with GCC and clang with a few configure options.Augmentation/loss tuning, adding more noise dataFix VAD fading bugFix typo "mix us data" to "mix of data"Update training instructionsAdd skip connectionsAdd sparse option, loss tuningMinor tweaks to augmentationBetter signal/noise normalizationNew models with updated augmentationexp_fgnoise2exp_fgnoise2Consider energy changes in gain decay capAugment with saturation and quantizationAdd Viterbi-based VAD for trainingTuning noise augmentationRandomize filter based on pole/zero locationAugmentation using foreground noiseAdded sha256 check for downloaded dataFix compilation errors.Add "little" modelv0.2v0.2Updating copyright noticesAdding more ways to load modelAdd missing fileScript for shrinking C modelsUpdated READMEReviving model loading based on Opus codeInitial sparse matrix support copied from OpusAdding one extra frame of delayNoise dataForgot weight dumping scriptForgot weight dumping scriptexp_model_load1exp_model_load1Reviving model loading based on Opus codeInitial sparse matrix support copied from OpusAdding one extra frame of delay
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