xuning / sherpaonnx

…or specific aarch64 cross-compilation environments (#1436)

Co-authored-by: xiao <shawl336@163.com>

It is contributed by a community user 
from [our QQ group](https://k2-fsa.github.io/sherpa/social-groups.html#qq).

See also
https://huggingface.co/spaces/k2-fsa/speaker-diarization

#1408 uses [node-addon-api](https://github.com/nodejs/node-addon-api) to call C API from JavaScript, whereas this pull request uses WebAssembly to call C API from JavaScript.

If the input audio file is less than 10 seconds long, there is only 
one chunk, and there is no need to compute embeddings or 
do clustering.

We can use the segmentation result from the speaker segmentation 
model directly.

Co-authored-by: vsd-vector <askars.salimbajevs@tilde.lv>

We use the open-source implementation from
https://github.com/cdalitz/hclust-cpp

We need to use opset 18 to export the model to onnx.

fix typo on french joiner file

Co-authored-by: xiao <shawl336@6163.com>

We need to invoke vad.flush() at the end.