Install this package:
emerge -a sci-ml/sherpa-onnx-bin
<pkgmetadata>
<maintainer type="person">
<email>iohann.s.titov@gmail.com</email>
<name>Ivan S. Titov</name>
</maintainer>
<longdescription>
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.
</longdescription>
<upstream>
<bugs-to>https://github.com/k2-fsa/sherpa-onnx/issues</bugs-to>
<remote-id type="pypi">sherpa-onnx</remote-id>
<remote-id type="github">k2-fsa/sherpa-onnx</remote-id>
</upstream>
</pkgmetadata>
| Type | File | Size | Versions |
|---|---|---|---|
| DIST | sherpa_onnx-1.13.2-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.whl | 4297390 bytes | 1.13.2 |
| DIST | sherpa_onnx-1.13.2-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.whl | 4296344 bytes | 1.13.2 |
| DIST | sherpa_onnx-1.13.2-cp314-cp314-manylinux2014_x86_64.manylinux_2_17_x86_64.whl | 4297544 bytes | 1.13.2 |
| DIST | sherpa_onnx-1.13.3-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.whl | 4355516 bytes | 1.13.3 |
| DIST | sherpa_onnx-1.13.3-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.whl | 4355420 bytes | 1.13.3 |
| DIST | sherpa_onnx-1.13.3-cp314-cp314-manylinux2014_x86_64.manylinux_2_17_x86_64.whl | 4356908 bytes | 1.13.3 |
| DIST | sherpa_onnx_core-1.13.2-py3-none-manylinux2014_x86_64.whl | 9804956 bytes | 1.13.2 |
| DIST | sherpa_onnx_core-1.13.3-py3-none-manylinux2014_x86_64.whl | 9856010 bytes | 1.13.3 |
| Type | File | Size |
|---|