jasonaidm / Conv-TasNet

Deep Neural Network for Speaker Separation

Conv-TasNet

Implementation of ''TasNet: Surpassing Ideal Time-Frequency Masking for Speech Separation''.

The default setting I used:

Dependencies

• python3.6.6

You can check and install other dependencies in requirements.txt.

$ pip install -r requirements.txt
# to install TensorFlow, you can refer to https://www.tensorflow.org/install/

Data

Put your training, validation, and testing data under data/train, data/valid, and data/infer respectively. The program will parse all data/{train, valid, infer}/*.wav non-recursively and please note that the default sample rate is 8000.

Usage

Training

$ python main.py --mode train

Inference

$ python main.py --mode test

Other Arguments

If you would like some different settings for this model, you can refer to utils.py.