19 Commits (3bb746c61f3440fc9b5a0bd0930370d1a1adbf8c)

Author	SHA1	Message	Date
Xinghai Sun	0bbb9c3ee2	Re-organize folder structure and hierarchy for DS2.	7 years ago
wanghaoshuang	08a6d07811	remove binary files	7 years ago
wanghaoshuang	c00db21e69	Implement uploading data to PaddleCloud ... 1. Refine data_utils/data.py, reuse process_utterance function. 2. Modified README. 3. Implement uploading data in cloud/upload_data.py 4. Merge branch 'develop' of https://github.com/PaddlePaddle/models into ds2_pcloud	7 years ago
Xinghai Sun	1b787411d3	Update noise and impulse augmentor according to code review.	7 years ago
Xinghai Sun	99e819e8ea	Add ImpulseResponseAugmentor and augmentation.config file.	7 years ago
Xinghai Sun	ad82c87712	Add NoisePerturbAugmentor and CHiME3 data preparation.	7 years ago
xushaoyong	db37c34919	modify some detail of augmentor	8 years ago
xushaoyong	c5995bb7e1	add 3 augmentor and unittest	8 years ago
Xinghai Sun	0dadd14600	Patch for adding missing shift_perturb.py in last commmit (pull request #114).	8 years ago
Xinghai Sun	13f708739b	Improve audio featurizer and add shift augmentor. ... 1. Improve audio featurizer. 2. Add shift augmentor. 3. Update default argument to be the current best seggestion. 4. Add checkpoints with pass id.	8 years ago
chrisxu2016	b340d4ed2f	modify setup.sh to delete the install of libsamplerate	8 years ago
chrisxu2016	d6a852a304	modify setup.sh to delete the install of libsamplerate	8 years ago
chrisxu2016	2450591a44	add 3 augmentor class and change resample module	8 years ago
chrisxu2016	d64f470078	add augmentor class	8 years ago
chrisxu2016	71283d619d	add augmentor class	8 years ago
chrisxu2016	115a06bb37	add augmentor class	8 years ago
Xinghai Sun	04a225ae4f	Enable min_batch_num in train.py and update train info print.	8 years ago
Xinghai Sun	b07ee84a1d	Add function, class and module docs for data parts in DS2.	8 years ago
Xinghai Sun	cd3617aeb4	Refactor whole data preprocessor for DS2 (re-design classes, re-organize dir, add augmentaion interfaces etc.). ... 1. Refactor data preprocessor with new added class AudioSegment, SpeechSegment, TextFeaturizer, AudioFeaturizer, SpeechFeaturizer. 2. Add data augmentation interfaces and class AugmentorBase, AugmentationPipeline, VolumnPerturbAugmentor etc.. 3. Seperate normalizer's mean and std computing from training, by adding FeatureNormalizer and a seperate tool compute_mean_std.py. 4. Re-organize directory.	8 years ago