Malar Kannan d387922f7d added dense-relu/softmax layers to segment output

2017-12-11 12:30:08 +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

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

fixed input_dim

2017-12-07 17:16:05 +05:30

segment_model.py

added dense-relu/softmax layers to segment output

2017-12-11 12:30:08 +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

implemented segment-generation for random words for testing

2017-12-06 14:41:25 +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

TODO.md

wip high variant phoneme

2017-10-26 18:06:14 +05:30

Description

No description provided

2.2 MiB

Languages

Python 100%