Export silero_vad v4 to RKNN (#2067)

scripts/silero_vad/v4/README.md

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+# Introduction
+
+This folder contains script for exporting
+[silero_vad v4](https://github.com/snakers4/silero-vad/tree/v4.0)
+to rknn.
+
+# Steps to run
+
+## 1. Download a jit model
+You can download it from <https://github.com/snakers4/silero-vad/blob/v4.0/files/silero_vad.jit>
+
+```bash
+wget https://github.com/snakers4/silero-vad/raw/refs/tags/v4.0/files/silero_vad.jit
+```
+
+```bash
+ls -lh silero_vad.jit
+-rw-r--r-- 1 kuangfangjun root 1.4M Mar 30 11:04 silero_vad.jit
+```
+
+## 2. Export it to onnx
+```bash
+./export-onnx.py
+```
+
+It will generate a file `./m.onnx`
+
+```bash
+ ls -lh m.onnx
+-rw-r--r-- 1 kuangfangjun root 627K Mar 30 11:13 m.onnx
+```
+
+## 3. Test the onnx model
+
+```bash
+wget https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/lei-jun-test.wav
+./test-onnx.py  --model ./m.onnx --wav ./lei-jun-test.wav
+```
+
+## 4. Convert the onnx model to RKNN format
+
+We assume you have installed rknn toolkit 2.1
+```bash
+./export-rknn.py --in-model ./m.onnx --out-model m.rknn  --target-platform rk3588
+```
+
+It will generate a file `./m.rknn`
+
+```bash
+ls -lh m.rknn
+-rw-r--r-- 1 kuangfangjun root 2.2M Mar 30 11:19 m.rknn
+```