18 Commits (f38d948193a1fb6ef967e2036e5c7cbceabaec16)

Author	SHA1	Message	Date
yangyaming	39dbcb4dfb	Give option to disable converting from transcription text to ids.	7 years ago
Yibing Liu	37a29bf181	fix the core dump bug of DS2's training in docker	7 years ago
Yibing Liu	7e093ed1a3	expose param cutoff_top_n	7 years ago
Yibing Liu	a18e6a7eda	refine by following review comments	7 years ago
Xinghai Sun	0bbb9c3ee2	Re-organize folder structure and hierarchy for DS2.	7 years ago
yangyaming	be37b03f0c	Fix a typo caused exception for audio_featurizer.py.	7 years ago
wanghaoshuang	08a6d07811	remove binary files	7 years ago
wanghaoshuang	7e9daa32b7	Merge branch 'develop' of https://github.com/PaddlePaddle/models into ds2_pcloud	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
Yibing Liu	43c483d1b9	Merge pull request #192 from kuke/mfcc_simplify_dev ... Update mfcc computation in DS2	7 years ago
Yibing Liu	98f0b6d02d	update the mfcc computation in DS2	7 years ago
yangyaming	14d2fb795c	Unify encoding to 'utf-8' and optimize error rate calculation.	7 years ago
Xinghai Sun	961f6a2963	Accelerate mfcc computation for DS2.	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.	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