* add .gitattributes
* add long wav
* fix some bugs
* updated lint error
* back the hi_xiaowen/run.sh to the same
* remove the space
* better one
* remove 'num_keyword' parameter
* remove files
* flask8 examine
* override the score and compute_det file
* remove defaultdict
* remove import defaultdict
* learning rate won't initial from 0.001 when continuing training from checkpoint
* fix intent bug with initial learning rate != 0.001
* add .gitattributes
* add long wav
* fix some bugs
* updated lint error
* back the hi_xiaowen/run.sh to the same
* remove the space
* better one
* remove 'num_keyword' parameter
* remove files
* flask8 examine
* override the score and compute_det file
* remove defaultdict
* remove import defaultdict
* [kws] add code for plotting det curve
* format
* format
* format
* format
* [kws] add code for plotting det curve
format
format
format
format
* set xlim and ylim by parameter
* set xlim and ylim optional
* update help information
* update parser type
* Update run.sh
The sigmoid() in kws/model/kws_model.py:KWSModel() was moved into kws/model/loss.py:max_pooling_loss()
To compute the posterior score correctly, the sigmoid() should also be added to kws/bin/score.py:main()
* [example] added code for training speech command dataset
* update kes_model.py
* update kes_model.py
* format
* format
* add more comments to explain the new classifier designed for speech command classification task
* add copyrigh info
* update copyrigh info of classifier.py
* modifying some implmentations of mdtc to get the model torch-scripting through
* modifications to get the mdtc model torch-scriptable
Co-authored-by: lxiao336 <shawl336@163.com>