25 Commits (04970705d6cef9538cba93c77d558790ede3c765)

Author	SHA1	Message	Date
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	6df0f9bc44	Reset default multi-thread/process number to half of cpu count() for speedup.	7 years ago
Xinghai Sun	526e18b119	Add function docs for layer.py and model.py and update other details.	7 years ago
Xinghai Sun	8122dd9c29	Simplify train.py, evaluate.py, infer.py and tune.py by adding DeepSpeech2Model class.	7 years ago
Yibing Liu	ee5abbe37d	add mfcc feature for DS2	7 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.	7 years ago
Xinghai Sun	d104eccf67	Update the default num_threads for DS2 data generator.	7 years ago
Xinghai Sun	1d8cc4a5a9	Add multi-threading support for DS2 data generator.	7 years ago
Xinghai Sun	ed5f04afb8	Add shuffle type of instance_shuffle and batch_shuffle_clipped.	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
dangqingqing	9c27b1d14e	add more comments and update train.py	8 years ago
dangqingqing	bf73540067	Merge branch 'develop' of https://github.com/PaddlePaddle/models into ds2	8 years ago
yangyaming	f49eab5fec	Change assert to exception raising.	8 years ago
dangqingqing	7c85e0fdb5	Support variable input batch and sortagrad.	8 years ago
yangyaming	d2e467385d	Add loading model function for train.py.	8 years ago
Xinghai Sun	2a83486500	Refactor decoder interfaces and add ./data directory.	8 years ago
Xinghai Sun	8313895e85	1. Fix incorrect decoder result printing. ... 2. Fix incorrect batch-norm usage in RNN. 3. Fix overlapping train/dev/test manfests. 4. Update README.md and requirements.txt. 5. Expose more arguments to users in argparser. 6. Update all other details.	8 years ago
Xinghai Sun	e6a349992b	Refactor data utils into a class and add feature normalization.	8 years ago
Xinghai Sun	9c3cd3c704	Update some parameters and comments.	8 years ago
Xinghai Sun	0babc5c4d7	Add function docs.	8 years ago
Xinghai Sun	70a343a499	Add infererence and add SortaGrad for only first pass.	8 years ago
Xinghai Sun	3fc94427db	Add librispeech dataset, audio data provider and simplfied DeepSpeech2 model configuration. ... Bug exists when run training.	8 years ago