iohann.s.titov@gmail.com Ivan S. Titov sherpa-onnx is a speech-stack toolkit from the k2-fsa project: speech-to-text, text-to-speech, speaker diarization, voice activity detection, source separation, and keyword spotting, all running on ONNX Runtime (no PyTorch dependency). Suited to CPU-only deployment and embedded targets. This -bin ebuild ships upstream's manylinux wheels (sherpa-onnx-core for the C++ shared libraries plus a per-CPython-ABI wheel for the Python bindings). Runtime model files are not bundled — see the post-install message for download pointers. sherpa-onnx k2-fsa/sherpa-onnx https://github.com/k2-fsa/sherpa-onnx/issues