YeGe

hello "Has this issue been resolved?"

set opset_version = 11

> 是的，我们提供的所有模型（不仅限于TTS模型）都可以在ARM嵌入式平台上运行。 > > 当我们说 ARM 时，我们指的是 ARM64 和 ARM32。 Which current open-source TTS models support deployment to ARM embedded platforms using Sherpa-ONNX?

> 我们仅支持 VITS。 请参阅 https://github.com/k2-fsa/sherpa-onnx/releases/tag/tts-models 获取预训练模型列表。 > > [该文档可在https://k2-fsa.github.io/sherpa/onnx/tts/pretrained_models/index.html](https://k2-fsa.github.io/sherpa/onnx/tts/pretrained_models/index.html)找到 [](https://k2-fsa.github.io/sherpa/onnx/tts/pretrained_models/index.html) > > 请注意，如果您使用 arm32，那么运行我们的模型就会很慢。 > > 如果你使用 Raspberry Pi 4B，那么速度对于英语 TTS 模型来说是可以接受的。 I would like to know the current location...

> 入口点是 > > * https://github.com/k2-fsa/sherpa-onnx/blob/master/sherpa-onnx/csrc/sherpa-onnx-offline-tts.cc > * https://github.com/k2-fsa/sherpa-onnx/blob/master/sherpa-onnx/csrc/sherpa-onnx-offline-tts-play-alsa.cc > * https://github.com/k2-fsa/sherpa-onnx/blob/master/sherpa-onnx/csrc/sherpa-onnx-offline-tts-play.cc Thank you. I encountered an error while installing Sherpa-ONNX locally on Ubuntu using the command. command： git clone...

> collect2: error: ld returned 1 exit status > make[2]: *** [sherpa-onnx/csrc/CMakeFiles/sherpa-onnx-alsa-offline-audio-tagging.dir/build.make:110: bin/sherpa-onnx-alsa-offline-audio-tagging] Error 1 > make[1]: *** [CMakeFiles/Makefile2:1575: sherpa-onnx/csrc/CMakeFiles/sherpa-onnx-alsa-offline-audio-tagging.dir/all] Error 2 > make: *** [Makefile:152: all] Error 2 make...

> > collect2: error: ld returned 1 exit status > > make[2]: *** [sherpa-onnx/csrc/CMakeFiles/sherpa-onnx-alsa-offline-audio-tagging.dir/build.make:110: bin/sherpa-onnx-alsa-offline-audio-tagging] Error 1 > > make[1]: *** [CMakeFiles/Makefile2:1575: sherpa-onnx/csrc/CMakeFiles/sherpa-onnx-alsa-offline-audio-tagging.dir/all] Error 2 > > make: *** [Makefile:152:...

GCC：7.5.0