AudioEnhancer

Takes cruddy conference call audio and upsamples it to HD Audio

To read more about the research, visit https://crimata.com/AIPost

Usage

Repository Structure

• ./data: the data and the metadata (you should not need to touch this folder)
• ./main: the model and its respective utilites
• ./samples: audio files and spectrograms generated from the neural net

cd ./main
python 3 main.py -h

It will then ask you if you'd like to train or evaluate. To get help for each respectivly, just type:

python 3 main.py train -h
python 3 main.py eval -h

Argument Reference:

''' Arguments: -h, --help help -i MODEL_ID an index you can add to querey the model later -c FROM_CKPT bool, begin training session from a checkpoint -k NEW_DATA bool, make new set of data -d DIM_SIZE size of each audio sample -x NUM_FILES number of files to train -e EPOCHS -b BATCH_SIZE -o CYCLE_LENGTH length of cycle in epochs (only for SGDR) -m MAX_LR max learning rate (only for SGDR) -n MIN_LR min learning rate (only for SGDR)