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Fangjun Kuang 5471c6a1f3 Update README.md to include colab notebook link.
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kaldifeat

Feature extraction compatible with kaldi using PyTorch, supporting CUDA, batch process, and autograd.

See colab notebook for example usage.

Installation

From PyPi with pip

If you install kaldifeat using pip, it will also install PyTorch 1.8.1. If this is not what you want, please install kaldifeat from source (see below).

pip install kaldifeat

From source

The following are the commands to compile kaldifeat from source. We assume that you have installed cmake and PyTorch. cmake 3.11 is known to work. Other cmake versions may also work. PyTorch 1.8.1 is known to work. Other PyTorch versions may also work.

mkdir /some/path
git clone https://github.com/csukuangfj/kaldifeat.git
cd kaldifeat
python setup.py install

To test whether kaldifeat was installed successfully, you can run:

python3 -c "import kaldifeat; print(kaldifeat.__version__)"

Usage

Please refer to https://kaldifeat.readthedocs.io/en/latest/usage.html for how to use kaldifeat.