Practical overview
When it fits
Use PyKaldi when a speech project needs Python access to Kaldi and OpenFst functionality, especially for custom tooling or application workflows that use existing models and Kaldi data. For model training, the project directs users to Kaldi recipes; PyKaldi provides lower-level training wrappers but no high-level ASR training API.
Who it is for
- Speech-recognition researchers and professionals building Python software around Kaldi and OpenFst.
- Developers who want to use Kaldi modules for decoding, alignment, segmentation, feature processing, or toolkit data handling from Python.
Documented uses
- Call low-level Kaldi functions and manipulate Kaldi or OpenFst objects in Python.
- Read and write Kaldi data, including matrices, vectors, lattices, and other FST structures.
- Build Python speech applications for decoding, alignment, or segmentation using suitable Kaldi assets.
- Access feature extraction, transformation, decoder, and language-model components.
Requirements & limits
The repository is public and identifies its license as Apache-2.0. The README documents Linux and macOS installation paths, Linux wheel packages for Python 3.7–3.11, and a few experimental Apple M1/M2 builds.
- A compatible Kaldi build is required even when installing a PyKaldi wheel; the installation notes specify the PyKaldi Kaldi fork, not upstream Kaldi.
- PyKaldi complements Kaldi’s command-line utilities and shell recipes rather than aiming to reproduce them.
- The project has application-oriented ASR modules, but it does not provide a high-level API for training ASR models.
- The README documents Linux and macOS builds; it notes that other system versions may need installation-script changes. PDF?
Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.
Prepare a source-build environment
Clone PyKaldi and install documented build prerequisites before proceeding to the project’s installation instructions.
Before you start
- Linux or macOS environment; the README describes relatively recent releases, including Ubuntu 16.04 or later, CentOS 7 or later, and macOS 10.13 or later.
- Git and the operating-system package manager.
- A compatible Kaldi build is required for PyKaldi; the documentation specifies the project’s Kaldi fork rather than upstream Kaldi.
Steps
Clone the PyKaldi repository and change into its directory.
Optionally create and activate an isolated Python environment, using virtualenv or another environment tool.
Install the documented system build dependencies for Ubuntu or macOS.
Continue with the README’s Python dependency and installation instructions, and build against the compatible Kaldi fork.
Expected outcome
A source-build environment is prepared to continue with the documented PyKaldi installation process.
Guide limitations
- The documented steps here do not complete the full installation or verify a successful build.
- PyKaldi requires a compatible Kaldi build; upstream Kaldi is not supported by the installation notes.
- The README says other operating-system versions may require changes to installation scripts.
Sources & review
Source record details
- Source availability
- Active
- Sources checked
- 14 October 2026
- Original website title
- pykaldi/pykaldi · Official homepage title · retained in its source language

