Malar Kannan 0600482fe5 generating segmentation for words		2017-12-28 13:37:27 +05:30
inputs	implemented phoneme/voice/rate variant genration	2017-10-04 23:21:28 +05:30
.gitignore	updated model data	2017-11-27 14:08:01 +05:30
TODO.md	wip high variant phoneme	2017-10-26 18:06:14 +05:30
generate_similar.py	computing phoneme/word variant for each word in a phrase	2017-11-03 14:48:55 +05:30
requirements-linux.txt	implemented the model, todo implement ctc and training queueing logic	2017-11-28 19:10:19 +05:30
requirements.txt	generated voice files using ios api	2017-10-04 17:51:39 +05:30
segment_data.py	1. fixed softmax output and overfit the model for small sample	2017-12-12 12:18:27 +05:30
segment_model.py	1. fixed softmax output and overfit the model for small sample	2017-12-12 12:18:27 +05:30
similarity.csv	similarity wip	2017-10-05 17:37:49 +05:30
speech_data.py	completed the segmentation model	2017-12-07 15:17:59 +05:30
speech_model.py	added a resume parameter for training	2017-12-07 12:00:42 +05:30
speech_pitch.py	created segment sample tfrecord writer	2017-12-06 17:32:26 +05:30
speech_samplegen.py	implemented segment-generation for random words for testing	2017-12-06 14:41:25 +05:30
speech_segmentgen.py	generating segmentation for words	2017-12-28 13:37:27 +05:30
speech_similar.py	implemented tts segmentation data generation	2017-11-23 17:50:11 +05:30
speech_spectrum.py	trying mfcc instead of spectrogram	2017-11-22 14:45:08 +05:30
speech_test.py	using pitch contour instead of spectrogram	2017-12-04 19:15:17 +05:30
speech_tools.py	completed the segmentation model	2017-12-07 15:17:59 +05:30