Streaming ww dev #162
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Streaming ww dev #162
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…del w/ no residual layers
… training dataset
…am part from train.py
…er without upsetting git
…where background_volume option was being ignored
…function. Applies to val set now, but still not test set
Replaced flatten with reshape in order to preserve time duration. Adding empty noise frames and duplicates of the wakeword to validationset (instead of just training) number of duplicates and noise level are now command line flags and are separate for training and validation sets. Input shape is now (batch, time, 1, features) (None,49,1,40) instead of just (None,49,40) to avoid the extra expand_dims layer, which caused problems for QAT.
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Merging work on the new streaming wakeword benchmark into the master branch. All the changes in streaming_ww_dev benchmark should be under benchmark/training/streaming_wakeword, but there are quite a lot of them.