如果你想直接在你的开发板上构建 sherpa-ncnn，可以按照此部分进行操作

    有关 Python API，请参考 Python API。

    你只需要运行以下命令：

    x86/x86_64

    1. git clone https://github.com/k2-fsa/sherpa-ncnn
    2. cd sherpa-ncnn
    3. mkdir build
    4. cd build
    5. cmake -DCMAKE_BUILD_TYPE=Release ..
    6. make -j6

    32位 ARM

    1. git clone https://github.com/k2-fsa/sherpa-ncnn
    2. cd sherpa-ncnn
    3. mkdir build
    4. cd build
    5. cmake \\
    6.   -DCMAKE_BUILD_TYPE=Release \\
    7.   -DCMAKE_C_FLAGS="-march=armv7-a -mfloat-abi=hard -mfpu=neon" \\
    8.   -DCMAKE_CXX_FLAGS="-march=armv7-a -mfloat-abi=hard -mfpu=neon" \\
    9.   ..
    10. make -j6

    64位 ARM 

    1. git clone https://github.com/k2-fsa/sherpa-ncnn
    2. cd sherpa-ncnn
    3. mkdir build
    4. cd build
    5. cmake \\
    6.   -DCMAKE_BUILD_TYPE=Release \\
    7.   -DCMAKE_C_FLAGS="-march=armv8-a" \\
    8.   -DCMAKE_CXX_FLAGS="-march=armv8-a" \\
    9.   ..
    10. make -j6

    构建完成后，你将在 bin 目录中找到两个可执行文件：

    1. $ ls -lh bin/
    2. total 13M
    3. -rwxr-xr-x 1 kuangfangjun root 6.5M Dec 18 11:31 sherpa-ncnn
    4. -rwxr-xr-x 1 kuangfangjun root 6.5M Dec 18 11:31 sherpa-ncnn-microphone

    就这样！

    请阅读 预训练模型 了解生成的二进制文件的使用方法。

    如果你想了解更多，请继续阅读。

    你可以通过以下命令剥离二进制文件：

    1. $ strip bin/sherpa-ncnn
    2. $ strip bin/sherpa-ncnn-microphone

    剥离后，每个二进制文件的文件大小是：

    1. $ ls -lh bin/
    2. total 12M
    3. -rwxr-xr-x 1 kuangfangjun root 5.8M Dec 18 11:35 sherpa-ncnn
    4. -rwxr-xr-x 1 kuangfangjun root 5.8M Dec 18 11:36 sherpa-ncnn-microphone

    提示
    默认情况下，所有外部依赖项都是静态链接的。这意味着生成的二进制文件是自包含的。

    你可以使用以下命令检查，并且你会发现它们只依赖于系统库：

    1. $ readelf -d bin/sherpa-ncnn
    1. Dynamic section at offset 0x5c0650 contains 34 entries:
    2.   Tag        Type                         Name/Value
    3.   0x0000000000000001 (NEEDED)             Shared library: [libgomp.so.1]
    4.   0x0000000000000001 (NEEDED)             Shared library: [libpthread.so.0]
    5.   0x0000000000000001 (NEEDED)             Shared library: [libstdc++.so.6]
    6.   0x0000000000000001 (NEEDED)             Shared library: [libm.so.6]
    7.   0x0000000000000001 (NEEDED)             Shared library: [libmvec.so.1]
    8.   0x0000000000000001 (NEEDED)             Shared library: [libgcc_s.so.1]
    9.   0x0000000000000001 (NEEDED)             Shared library: [libc.so.6]
    10.   0x000000000000001d (RUNPATH)            Library runpath: [$ORIGIN:]
    1. $ readelf -d bin/sherpa-ncnn-microphone
    1. Dynamic section at offset 0x5c45d0 contains 34 entries:
    2.   Tag        Type                         Name/Value
    3.   0x0000000000000001 (NEEDED)             Shared library: [libpthread.so.0]
    4.   0x0000000000000001 (NEEDED)             Shared library: [libgomp.so.1]
    5.   0x0000000000000001 (NEEDED)             Shared library: [libstdc++.so.6]
    6.   0x0000000000000001 (NEEDED)             Shared library: [libm.so.6]
    7.   0x0000000000000001 (NEEDED)             Shared library: [libmvec.so.1]
    8.   0x0000000000000001 (NEEDED)             Shared library: [libgcc_s.so.1]
    9.   0x0000000000000001 (NEEDED)             Shared library: [libc.so.6]
    10.   0x000000000000001d (RUNPATH)            Library runpath: [$ORIGIN:]

    如果遇到任何问题，请在 https://github.com/k2-fsa/sherpa-ncnn/issues 创建一个问题。