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Meta's EnCodec gets portable C++ implementation

A C++ implementation of Meta's EnCodec audio codec has been developed, aiming for portability and high performance without external machine learning runtimes. This project, available on GitHub, compiles model weights directly into the binary for easier integration into CMake projects. The developer is seeking feedback on the implementation, which reportedly matches or exceeds the performance of ONNX Runtime. AI

IMPACT Provides a more accessible and performant C++ implementation of a state-of-the-art audio codec for developers.

RANK_REASON This is a new open-source implementation of an existing model, not a novel research paper or a frontier model release. [lever_c_demoted from research: ic=1 ai=0.7]

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COVERAGE [1]

  1. r/MachineLearning TIER_1 English(EN) · /u/Competitive_Act5981 ·

    Encodec.cpp, a portable C++ implementation of Meta's EnCodec using Eigen [P]

    <!-- SC_OFF --><div class="md"><p>I built a C++ implementation of Meta’s <a href="https://audiocraft.metademolab.com/encodec.html">EnCodec</a> using <a href="https://libeigen.gitlab.io">Eigen</a>. </p> <p>Github: <a href="https://github.com/pfeatherstone/encodec.cpp">https://gith…