sherpa-onnx-bin

Speech-to-text, TTS, speaker diarization etc. using onnxruntime (binary wheels)

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.

homepage ↗homepage ↗homepage ↗ pypi: sherpa-onnx github: k2-fsa/sherpa-onnx