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kaldi-native-fbank

With conditionsPyPI Artificial IntelligenceReleased Oct 2025257.7K downloads / moApache-2.0Platform wheel

Decision gist · record as of 2026-08-14

platform wheels — kaldi_native_fbank-1.22.3-cp310-cp310-macosx_10_15_x86_64.whl · kaldi_native_fbank-1.22.3-cp310-cp310-macosx_11_0_arm64.whl · kaldi_native_fbank-1.22.3-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.whl
v1.22.3 · released 2025-10-09 · Python >=3.8.0

Yes, if you are building a real-time speech recognition system that needs Kaldi-compatible fbank features without external dependencies. The package is well-maintained, permissively licensed, and has broad platform coverage. However, if your use case is offline batch processing or you already have Kaldi or another audio library integrated, the aging maintenance status (309 days since last release) and lack of recent activity may warrant checking whether active alternatives exist.AI-flagged interpretation of the facts on this page — verify before relying

Before you install

  • Requires Python >= 3.8.0; audio samples must be provided as a list or array-like object compatible with the C++ backend.
  • Medium install friction due to compiled wheels for multiple Python versions and architectures (cp310–cp313, x86/arm/aarch64, Linux/macOS/Windows), but pre-built binaries are available.
  • Maintenance is aging: last release was 309 days ago, though the repository remains active and the project is not archived.

License · maintenance · safety

Apache-2.0 (permissive) — Licensed under Apache-2.0 (permissive), allowing commercial and private use with minimal restrictions; you must retain license and copyright notices in distributions.

last release 2025-10-09 (309 days) · last repo commit 2025-10-09 · 152 stars

0 known vulnerabilities (OSV.dev, 2026-08-14) · 257,692 downloads/mo, #8,437 on PyPI

Verify before relying

pip install kaldi-native-fbank

import kaldi_native_fbank as knf

opts = knf.FbankOptions()
opts.mel_opts.num_bins = 80
fbank = knf.OnlineFbank(opts)
fbank.accept_waveform(16000, audio_samples)
features = fbank.get_frame(0)
  • Whether the package works reliably on Android as claimed in the description, or if that is aspirational.
  • Performance characteristics (latency, throughput) for real-time speech recognition use cases.
  • Compatibility with specific speech recognition frameworks beyond the two CMake projects mentioned.
Same gist for agents: .md · .json

What it is and what it does

kaldi-native-fbank is a Python wrapper around a C++ implementation of Kaldi-compatible filterbank feature extraction. It computes mel-frequency filterbank coefficients from raw audio waveforms, designed for real-time speech recognition pipelines. The package accepts audio samples at a specified sampling rate and produces frame-by-frame feature vectors without requiring external audio libraries or Kaldi itself.

The package is built as a compiled extension with pre-built wheels for Python 3.8+ across Linux, macOS, and Windows on x86, ARM, and aarch64 architectures. It has no runtime Python dependencies and is intended for integration into speech recognition systems like sherpa-ncnn and sherpa-onnx, where it handles the feature extraction stage of online (streaming) speech processing.

Use it for

  • Extract mel-filterbank features from streaming audio in real-time speech recognition systems.
  • Replace Kaldi's fbank computation in modern speech pipelines without installing Kaldi itself.
  • Compute frame-level audio features for acoustic model inference in embedded or resource-constrained environments.
  • Validate or benchmark fbank feature extraction against Kaldi's reference implementation.
  • Integrate audio preprocessing into Python-based speech recognition frameworks.

Worth the install?

AI-flagged interpretation of the facts on this page. Verify before relying on it.

With conditions

Yes, if you are building a real-time speech recognition system that needs Kaldi-compatible fbank features without external dependencies.

The package is well-maintained, permissively licensed, and has broad platform coverage. However, if your use case is offline batch processing or you already have Kaldi or another audio library integrated, the aging maintenance status (309 days since last release) and lack of recent activity may warrant checking whether active alternatives exist.

Install

kaldi-native-fbank on PyPI

Before you install

Medium install friction due to compiled wheels for multiple Python versions and architectures (cp310–cp313, x86/arm/aarch64, Linux/macOS/Windows), but pre-built binaries are available. Maintenance is aging: last release was 309 days ago, though the repository remains active and the project is not archived.

Requires Python >= 3.8.0; audio samples must be provided as a list or array-like object compatible with the C++ backend.

License in practice

Licensed under Apache-2.0 (permissive), allowing commercial and private use with minimal restrictions; you must retain license and copyright notices in distributions.

Quickstart

pip install kaldi-native-fbank

import kaldi_native_fbank as knf

opts = knf.FbankOptions()
opts.mel_opts.num_bins = 80
fbank = knf.OnlineFbank(opts)
fbank.accept_waveform(16000, audio_samples)
features = fbank.get_frame(0)

Verify before relying

  • Whether the package works reliably on Android as claimed in the description, or if that is aspirational.
  • Performance characteristics (latency, throughput) for real-time speech recognition use cases.
  • Compatibility with specific speech recognition frameworks beyond the two CMake projects mentioned.

Package facts

LicenseApache-2.0 permissive
Python supportSupports the current Python release >=3.8.0
Install frictionMedium. Platform-specific wheel
Runtime dependenciesNone
MaintenanceAging 309 days since the last release
Last repo commit
First released
Downloads257,692 / month, #8,437 on PyPI 30-day window, as of 2026-08-14
Known vulnerabilitiesNone known OSV.dev, checked 2026-08-14
Classifiers
Programming Language :: C++Programming Language :: PythonProgramming Language :: Python :: 3Topic :: Scientific/Engineering :: Artificial Intelligence

Evidence: kaldi_native_fbank-1.22.3-cp310-cp310-macosx_10_15_x86_64.whl; kaldi_native_fbank-1.22.3-cp310-cp310-macosx_11_0_arm64.whl; kaldi_native_fbank-1.22.3-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.whl; kaldi_native_fbank-1.22.3-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.whl; kaldi_native_fbank-1.22.3-cp310-cp310-win32.whl; kaldi_native_fbank-1.22.3-cp310-cp310-win_amd64.whl; kaldi_native_fbank-1.22.3-cp311-cp311-macosx_10_15_x86_64.whl; kaldi_native_fbank-1.22.3-cp311-cp311-macosx_11_0_arm64.whl; kaldi_native_fbank-1.22.3-cp311-cp311-manylinux2014_aarch64.manylinux_2_17_aarch64.whl; kaldi_native_fbank-1.22.3-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.whl; kaldi_native_fbank-1.22.3-cp311-cp311-win32.whl; kaldi_native_fbank-1.22.3-cp311-cp311-win_amd64.whl; kaldi_native_fbank-1.22.3-cp312-cp312-macosx_10_15_x86_64.whl; kaldi_native_fbank-1.22.3-cp312-cp312-macosx_11_0_arm64.whl; kaldi_native_fbank-1.22.3-cp312-cp312-manylinux2014_aarch64.manylinux_2_17_aarch64.whl; kaldi_native_fbank-1.22.3-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.whl; kaldi_native_fbank-1.22.3-cp312-cp312-win32.whl; kaldi_native_fbank-1.22.3-cp312-cp312-win_amd64.whl; kaldi_native_fbank-1.22.3-cp313-cp313-macosx_10_15_x86_64.whl; kaldi_native_fbank-1.22.3-cp313-cp313-macosx_11_0_arm64.whl

Tags

Capabilities
audio feature extraction fbankkaldi compatible speech featuresreal-time fbank extractormel-frequency cepstral coefficientsonline speech feature computationwaveform to fbank featureskaldi fbank alternative
Topics
audio-processingspeech-recognitionfeature-extraction

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See also kaldifst · python_speech_features · aubio · kaldiio · kaldialign · asteroid-filterbanks · lhotse · Gammatone · torchaudio · livekit-plugins-soniox