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k2-fsa / sherpa-onnx

Speech-to-text, text-to-speech, speaker diarization, and VAD using next-gen Kaldi with onnxruntime without Internet connection. Support embedded systems, Android, iOS, Raspberry Pi, RISC-V, x86_64 servers, websocket server/client, C/C++, Python, Kotlin, C#, Go, NodeJS, Java, Swift, Dart, JavaScript, Flutter, Object Pascal, Lazarus, Rust
https://k2-fsa.github.io/sherpa/onnx/index.html
Apache License 2.0
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Speak Diarization with ASR #1487

Closed CSLukkun closed 2 weeks ago

CSLukkun commented 2 weeks ago

你好，想请教一个问题。

我希望将一个音频中的说话人进行分离。每一段切分的子音频 有开始时间，持续时间，说话的内容，以及说话人的id。 我不清楚在这个仓库中是否提供这样的功能。

感谢

csukuangfj commented 2 weeks ago

支持的

CSLukkun commented 2 weeks ago

您能提供一些实例 或者 指导给我吗？非常感谢

On Oct 28, 2024, at 18:52, Fangjun Kuang @.***> wrote:

支持的

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csukuangfj commented 2 weeks ago

请自己看我们的提供的文档。

我们有提供 speaker diarization的例子

有提供 asr 的例子

你自己组合起来，就是你想要的。