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Code Quality Rank: L5
Programming language: C++
License: MIT License
Tags: Audio    

KFR alternatives and similar libraries

Based on the "Audio" category.
Alternatively, view KFR alternatives based on common mentions on social networks and blogs.

  • Kaldi Speech Recognition Toolkit

    kaldi-asr/kaldi is the official location of the Kaldi project.
  • Maximilian

    C++ Audio and Music DSP Library
  • The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
    Promo workos.com
    WorkOS Logo
  • minimp3

    Minimalistic MP3 decoder single header library
  • r8brain-free-src

    High-quality pro audio resampler / sample rate converter C++ library. Very fast, for both audio resampling and time-series interpolation.
  • Tonic

    4.1 0.0 L1 KFR VS Tonic
    Easy and efficient audio synthesis in C++
  • SELA

    3.1 0.0 L2 KFR VS SELA
    SimplE Lossless Audio
  • OpenAL

    1.5 0.0 L3 KFR VS OpenAL
    Open Audio Library
  • algore

    1.1 0.0 L2 KFR VS algore
    Tasty C++ class wrappers and mixer implementation for OpenAL built on Chris Robinson's ALURE library. Comes with some crunky LinkedList and ListItem classes which you are welcome to use or change. Use with ALURE, OpenAL, libsndfile / libFLAC etc. Provides a simple and effective programmer interface to easily deal with the ALURE libraries and implements ALURE on Windows and Linux. Effectively uses both the one-off and streaming capabilities of OpenAL/ALURE and via libsndfile libflac et al supports a wide variety of sound file formats.
  • Speex

    A free codec for free speech. Obsoleted by Opus. [BSD]
  • Opus

    A totally open, royalty-free, highly versatile audio codec. [BSD]
  • Vorbis

    Ogg Vorbis is a fully open, non-proprietary, patent-and-royalty-free, general-purpose compressed audio format. [BSD]
  • FMOD

    An easy to use crossplatform audio engine and audio content creation tool for games. [Free for non-commercial/Commercial]

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README

FFT benchmark

A benchmark for comparison of FFT algorithms performance.

Currently supports Intel IPP, KFR, FFTW and KissFFT.

Requires:

  • Clang 6.0+ (GCC and MSVC are not suitable)
  • Latest MSYS2 on Windows
  • CMake 3.0 or newer
  • AVX2-capable cpu
  • Python 3.5 or newer
    • matplotlib module
    • numpy module

Usage

Place headers to include folder:

include/
    fft/
        fftw3.h
    ipp/
        ipp.h
        <other IPP headers>
    kfr/
        dft.hpp        
        <other KFR headers from include/kfr>

x64 libs to lib folder:

lib/
    ipps.lib
    <other IPP libs>

x64 dlls to bin folder, including MinGW system dlls:

bin/
    ipps.dll
    <other IPP dlls>
    ...
    libfftw3-3.dll
    libfftw3f-3.dll
    ...
    libstdc++-6.dll
    libwinpthread-1.dll
    libgcc_s_seh-1.dll

Run msys2-build.cmd to build.

Run benchmark.py to measure performance and save data/images.

License

Dual licensed under GPL 2+ and MIT


*Note that all licence references and agreements mentioned in the KFR README section above are relevant to that project's source code only.