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Sep-TFAnet ^VAD :Single-Microphone Speaker Separation and Voice Activity Detection in Noisy and Reverberant Environments

🚀 Getting Started

1. Pull the Docker Image

To pull the Docker image mordehay/separation_vad:1.0, use the following command:

docker pull mordehay/separation_vad:1.0

2. Creating a Container

Once the image has been pulled, you can create and start a container:

docker run -it mordehay/separation_vad:1.0 /bin/bash

You will be placed into an interactive terminal inside the container.

🎯 Running the Inference Script

With the container up and running, execute the only_inference.py script. Here are the available arguments for the script:

python only_inference.py \
-c/--config [CONFIG_PATH] \
-r/--resume [CHECKPOINT_PATH] \
-d/--device [DEVICE] \
-sp/--save_test_path [SAVE_PATH] \
-o/--online [TRUE/FALSE] \
-ps/--precision_save [16/32] \
-pm/--path_mix [MIX_SIGNAL_PATH] \
-ikw/--inference_kw [INFERENCE_OPTIONS]

📜 Argument Descriptions:

• -c/--config: Path to the config file.

  • Default: config_with_vad.json

• -r/--resume: Path to the latest checkpoint.

  • Default: model_without_vad.pth

• -d/--device: Indices of GPUs to enable.

  • Default: All GPUs.

• -sp/--save_test_path: Directory where separated signals will be saved.

  • Default: Current directory.

• -o/--online: Online mode toggle.

  • Default: True

• -ps/--precision_save: Precision of the separated signals.

  • Choices: 16 or 32
  • Default: 32

• -pm/--path_mix: Path to the mixed signal for running the separation. Required argument.

• -ikw/--inference_kw: Options for the inference phase, such as:

  • filter_signals_by_smo_vad: Filter by smoothed VAD (Default: False).
  • filter_signals_by_unsmo_vad: Filter by unsmoothed VAD (Default: False).
  • length_smoothing_filter: Length of smoothing filter (Default: 3).
  • threshold_activated_vad: VAD threshold (Default: 0.5).
  • return_smoothed_vad: Toggle to return smoothed VAD (Default: False).

  This argument must be dictionary as JSON string for an exmaple:

  '{"filter_signals_by_smo_vad": false, 
    "length_smoothing_filter": 3, 
    "return_smoothed_vad": true}'
  

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