Speech-to-text, text-to-speech, speaker diarization, speech enhancement, source separation, and VAD using next-gen Kaldi with onnxruntime without Internet connection. Support embedded systems, Android, iOS, HarmonyOS, Raspberry Pi, RISC-V, RK NPU, Axera NPU, A
Recognize speech, convert text to speech, and enhance audio without needing an internet connection.

Excerpts from the project README on GitHub. Copyright and licensing remain with the respective authors.
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Free · no card · unsubscribe anytimeSpeech-to-text, text-to-speech, speaker diarization, speech enhancement, source separation, and VAD using next-gen Kaldi with onnxruntime without Internet connection. Support embedded systems, Android, iOS, HarmonyOS, Raspberry Pi, RISC-V, RK NPU, Axera NPU, A
sherpa-onnx has 13.6k stars on GitHub. It has been forked 1.6k times. sherpa-onnx is written mainly in C++. It has been in active development since 2022. sherpa-onnx is available under the Apache-2.0 license. Its main topics are aarch64, android, arm32, asr.
Compare with the paid tools it replacesSpeech-to-text, text-to-speech, speaker diarization, speech enhancement, source separation, and VAD using next-gen Kaldi with onnxruntime without Internet connection. Support embedded systems, Android, iOS, HarmonyOS, Raspberry Pi, RISC-V, RK NPU, Axera NPU, A
sherpa-onnx is an open-source project. It is released under the Apache-2.0 license.
Yes. sherpa-onnx is free and open source — you can use, modify and self-host it.
sherpa-onnx is available under the Apache-2.0 license.
sherpa-onnx is written mainly in C++.
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