mirror of
https://github.com/csukuangfj/kaldifeat.git
synced 2025-08-22 08:16:12 +00:00
45 lines
1.1 KiB
Markdown
45 lines
1.1 KiB
Markdown
# kaldifeat
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Feature extraction compatible with kaldi using PyTorch, supporting
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CUDA, batch process, and autograd.
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See [colab notebook][1] for example usage.
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[1]: https://colab.research.google.com/drive/16LXJ5QlqO0mQRYK4q1NxOBdM2yL0CYNJ#scrollTo=dTYi4IVJro0j
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# Installation
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## From PyPi with pip
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If you install `kaldifeat` using `pip`, it will also install
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PyTorch 1.8.1. If this is not what you want, please install `kaldifeat`
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from source (see below).
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```bash
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pip install kaldifeat
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```
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## From source
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The following are the commands to compile `kaldifeat` from source.
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We assume that you have installed `cmake` and PyTorch.
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cmake 3.11 is known to work. Other cmake versions may also work.
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PyTorch 1.8.1 is known to work. Other PyTorch versions may also work.
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```bash
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mkdir /some/path
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git clone https://github.com/csukuangfj/kaldifeat.git
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cd kaldifeat
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python setup.py install
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```
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To test whether `kaldifeat` was installed successfully, you can run:
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```
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python3 -c "import kaldifeat; print(kaldifeat.__version__)"
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```
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## Usage
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Please refer to <https://kaldifeat.readthedocs.io/en/latest/usage.html>
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for how to use `kaldifeat`.
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