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malar
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speech-scoring
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fea9184aec287796e11d56c33e3171f8ce0521e4
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Malar Kannan
fea9184aec
using the full data and fixed typo in model layer name
2017-12-11 13:47:30 +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 empty phoneme boundary case
2017-12-11 13:05:46 +05:30
segment_model.py
using the full data and fixed typo in model layer name
2017-12-11 13:47:30 +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
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Python
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