Update README

README.md

@@ -1,16 +1,60 @@
-# Introduction
+### Supported functions
 
-You can use `sherpa-ncnn` for **real-time** speech recognition (i.e., speech-to-text)
-and voice activity detection (VAD) on the following platforms
+|Real-time Speech recognition| Voice activity detection |
+|----------------------------|--------------------------|
+|   ✔️                        |         ✔️                |
 
-  - Linux
-  - macOS
-  - Windows
-  - Embedded Linux (32-bit arm and 64-bit aarch64)
-  - Android
-  - etc ...
+### Supported platforms
 
-It runs on locally CPU without accessing the network.
+|Architecture| Android          | iOS           | Windows    | macOS | linux |
+|------------|------------------|---------------|------------|-------|-------|
+|   x64      |  ✔️               |               |   ✔️        | ✔️     |  ✔️    |
+|   x86      |  ✔️               |               |   ✔️        |       |       |
+|   arm64    |  ✔️               | ✔️             |   ✔️        | ✔️     |  ✔️    |
+|   arm32    |  ✔️               |               |            |       |  ✔️    |
+|   riscv64  |                  |               |            |       |  ✔️    |
+
+### Supported programming languages
+
+| 1. C++ | 2. C  | 3. Python | 4. JavaScript |
+|--------|-------|-----------|---------------|
+|   ✔️    | ✔️     | ✔️         |    ✔️          |
+
+|5. Go   | 6. C# | 7. Kotlin | 8. Swift |
+|--------|-------|-----------|----------|
+| ✔️      |  ✔️    | ✔️         |  ✔️       |
+
+
+It also supports WebAssembly.
+
+## Introduction
+
+This repository supports running the following functions **locally**
+
+  - Streaming speech-to-text (i.e., real-time speech recognition)
+  - VAD (e.g., [silero-vad](https://github.com/snakers4/silero-vad))
+
+on the following platforms and operating systems:
+
+  - x86, ``x86_64``, 32-bit ARM, 64-bit ARM (arm64, aarch64), RISC-V (riscv64)
+  - Linux, macOS, Windows, openKylin
+  - Android, WearOS
+  - iOS
+  - NodeJS
+  - WebAssembly
+  - [Raspberry Pi](https://www.raspberrypi.com/)
+  - [RV1126](https://www.rock-chips.com/uploads/pdf/2022.8.26/191/RV1126%20Brief%20Datasheet.pdf)
+  - [LicheePi4A](https://sipeed.com/licheepi4a)
+  - [VisionFive 2](https://www.starfivetech.com/en/site/boards)
+  - [旭日X3派](https://developer.horizon.ai/api/v1/fileData/documents_pi/index.html)
+  - etc
+
+with the following APIs
+
+  - C++, C, Python, Go, ``C#``
+  - Kotlin
+  - JavaScript
+  - Swift
 
 We support all platforms that [ncnn](https://github.com/tencent/ncnn) supports.
 
@@ -42,5 +86,29 @@ with `sherpa-ncnn` using a microphone:
   - `Chinese` Android demo : <https://www.bilibili.com/video/BV1744y1Z76H>
   - `Chinese poem with background music` Android demo : <https://www.bilibili.com/video/BV1vR4y1k7eo>
 
+### Links for pre-built Android APKs
+
+| Description                    | URL                                                       |
+|--------------------------------|-----------------------------------------------------------|
+| Streaming speech recognition   | [Address](https://github.com/k2-fsa/sherpa-ncnn/releases) |
+
+### Links for pre-trained models
+
+https://github.com/k2-fsa/sherpa-ncnn/releases/tag/models
+
+### Useful links
+
+- Documentation: https://k2-fsa.github.io/sherpa/onnx/
+- Bilibili 演示视频: https://search.bilibili.com/all?keyword=%E6%96%B0%E4%B8%80%E4%BB%A3Kaldi
+
+### How to reach us
+
+Please see
+https://k2-fsa.github.io/sherpa/social-groups.html
+for 新一代 Kaldi **微信交流群** and **QQ 交流群**.
+
+
+## See also
 
-See also <https://github.com/k2-fsa/sherpa>
+  - <https://github.com/k2-fsa/sherpa-onnx>
+  - <https://github.com/k2-fsa/sherpa>