Malar Kannan
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03d49d83e7
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updated learning rate
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2017-10-23 20:21:44 +05:30 |
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Malar Kannan
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6f3bca61cf
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1. fixed dimension issue in data
2. experimenting with different base network
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2017-10-23 19:00:27 +05:30 |
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Malar Kannan
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e865f17a0d
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pickling intermediate data to save memory usage
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2017-10-20 12:52:11 +05:30 |
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Malar Kannan
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b3755ad80e
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updated tested pickling
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2017-10-17 19:17:44 +05:30 |
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Malar Kannan
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88edcdd239
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seprated spectrogram generation code
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2017-10-17 19:11:04 +05:30 |
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Malar Kannan
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51a6d6e804
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added who data method
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2017-10-17 19:04:07 +05:30 |
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Malar Kannan
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8ae5104201
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added spectrogram to model data code and implemented simple rnn model
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2017-10-17 18:56:42 +05:30 |
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Malar Kannan
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40c8675e4a
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included keras - mnist siamese example
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2017-10-13 17:59:53 +05:30 |
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Malar Kannan
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dccbec7cba
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1. implemented spectrogram generator for audio files
2. imported siamese network class (wip)
3. added similarity measure based phoneme neighbor generator
4. fixed samplegen variants code
5. create triplets (wip)
6. updates
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2017-10-13 16:40:57 +05:30 |
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Malar Kannan
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258356780f
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created triplet code wip
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2017-10-06 11:01:16 +05:30 |
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Malar Kannan
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7430d2dc9a
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similarity wip
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2017-10-05 17:37:49 +05:30 |
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Malar Kannan
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36722c1141
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refactored
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2017-10-05 16:54:41 +05:30 |
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Malar Kannan
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67f27ac683
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1. included arpabet apple phoneme mapper
2. using only voices with phoneme capability and 3 rates only
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2017-10-05 13:58:00 +05:30 |
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Malar Kannan
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0337f0d5be
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1. using cli say instead of api since api generates empty responses sometimes
2. generating all words voices for each variants
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2017-10-05 11:02:38 +05:30 |
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Malar Kannan
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9d700f18ca
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implemented phoneme/voice/rate variant genration
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2017-10-04 23:21:28 +05:30 |
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Malar Kannan
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d2c28fc63f
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generated voice files using ios api
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2017-10-04 17:51:39 +05:30 |