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kaldifeat
Wrap kaldi's feature computations to Python with PyTorch support.
Installation
kaldifeat
can be installed by
pip install kaldifeat
TODOs
- Add Python interface
- Support torch.device so that it can switch between CUDA and CPU
- Add unit tests
- Set up GitHub actions
- Benchmark its speed and compare it with Kaldi
- Support batch processing of multiple waves
- Handle non-default parameters
- Support MFCC and other features available in Kaldi
- Publish it to PyPI
Description
Kaldi-compatible online & offline feature extraction with PyTorch, supporting CUDA, batch processing, chunk processing, and autograd - Provide C++ & Python API
cppfbankfeatures-extractionkaldimfcconline-feature-extractorplppythonpytorchstreaming-feature-extractor
Readme
Apache-2.0
11 MiB
Languages
C++
78%
Python
11.2%
CMake
6.7%
Shell
4.1%