Before running scripts, you MUST follow this instruction to download the dataset: https://github.com/sonos/keyword-spotting-research-datasets
After you download and decompress the dataset archive, you should REPLACE the value of data_dir
in conf/*.yaml
to complete dataset config.
In this section, we will train the MDTC model and evaluate on "Hey Snips" dataset.
CUDA_VISIBLE_DEVICES=0,1 ./run.sh conf/mdtc.yaml
This script contains training and scoring steps. You can just set the CUDA_VISIBLE_DEVICES
environment var to run on single gpu or multi-gpus.
The vars stage
and stop_stage
in ./run.sh
controls the running steps:
- stage 1: Training from scratch.
- stage 2: Evaluating model on test dataset and computing detection error tradeoff(DET) of all trigger thresholds.
- stage 3: Plotting the DET cruve for visualizaiton.