Apple previews Live Speech, Personal Voice, and more new accessibility features

This page summarizes the projects mentioned and recommended in the original post on news.ycombinator.com
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  • gemm-benchmark

    Simple [sd]gemm benchmark, similar to ACES dgemm

  • armnn

    Arm NN ML Software. The code here is a read-only mirror of https://review.mlplatform.org/admin/repos/ml/armnn

    • Yes, and generic multicore ARM CPUs can run ARM's standard compute library regardless of their hardware: https://github.com/ARM-software/armnn

    Plus, the benchmark you've linked to is comparing CPU accelerated code to the notoriously crippled MKL execution. A more appropriate comparison would test Apple's AMX units against the Ryzen's SIMD-optimized inferencing.

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    The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

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  • piper

    A fast, local neural text to speech system (by rhasspy)

    • You may want to check out Rhasspy/Piper [0,1]. The Piper page includes training instructions.

    [0] https://github.com/rhasspy

    [1] https://github.com/rhasspy/piper

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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