参考：【RV1126】移植kaldi实时语音识别 https://blog.csdn.net/qq_28877125/article/details/130376397
交叉编译sherpa
1、下载arm-gcc，要求gcc大于10.0；刚开始用瑞芯微的gcc库，一直编译不过。
代码语言：javascript复制wget -q https://huggingface.co/csukuangfj/sherpa-ncnn-toolchains/resolve/main/gcc-arm-10.3-2021.07-x86_64-arm-none-linux-gnueabihf.tar.xz
tar xf gcc-arm-10.3-2021.07-x86_64-arm-none-linux-gnueabihf.tar.xz
arm-none-linux-gnueabihf-gcc --version
arm-none-linux-gnueabihf-gcc (GNU Toolchain for the A-profile Architecture 10.3-2021.07 (arm-10.29)) 10.3.1 20210621Copyright (C) 2020 Free Software Foundation, Inc.This is free software; see the source for copying conditions. There is NOwarranty; not even for MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.其实，这里还是有问题，还是建议用瑞芯微提供的gcc编译工具包，要不会因为gcc的版本不一样，生成的可执行文件还是不能运行。
2、编译
代码语言：javascript复制sh -x ./build-arm-linux-gnueabihf.sh
编译成功后，3、下载模型库，参考：
代码语言：javascript复制使用的模型是小模型：
https://k2-fsa.github.io/sherpa/ncnn/pretrained_models/zipformer-transucer-models.html#sherpa-ncnn-streaming-zipformer-small-bilingual-zh-en-2023-02-16
https://huggingface.co/csukuangfj/sherpa-ncnn-streaming-zipformer-small-bilingual-zh-en-2023-02-16
直接通过浏览器下载好，然后拷贝到开发板上4、在正点原子的rv1126开发板上测试
代码语言：javascript复制[root@ATK-DLRV1126:/userdata/rv1126]# ./sherpa-ncnn-alsa
> ./tokens.txt
> ./encoder_jit_trace-pnnx.ncnn.param
> ./encoder_jit_trace-pnnx.ncnn.bin
> ./decoder_jit_trace-pnnx.ncnn.param
> ./decoder_jit_trace-pnnx.ncnn.bin
> ./joiner_jit_trace-pnnx.ncnn.param
> ./joiner_jit_trace-pnnx.ncnn.bin
> "default"
> 4
> greedy_search
RecognizerConfig(feat_config=FeatureExtractorConfig(sampling_rate=16000, feature_dim=80), model_config=ModelConfig(encoder_param="./encoder_jit_trace-pnnx.ncnn.param", encoder_bin="./encoder_jit_trace-pnnx.ncnn.bin", decoder_param="./decoder_jit_trace-pnnx.ncnn.param", decoder_bin="./decoder_jit_trace-pnnx.ncnn.bin", joiner_param="./joiner_jit_trace-pnnx.ncnn.param", joiner_bin="./joiner_jit_trace-pnnx.ncnn.bin", tokens="./tokens.txt", encoder num_threads=4, decoder num_threads=4, joiner num_threads=4), decoder_config=DecoderConfig(method="greedy_search", num_active_paths=4), endpoint_config=EndpointConfig(rule1=EndpointRule(must_contain_nonsilence=False, min_trailing_silence=2.4, min_utterance_length=0), rule2=EndpointRule(must_contain_nonsilence=True, min_trailing_silence=1.2, min_utterance_length=0), rule3=EndpointRule(must_contain_nonsilence=False, min_trailing_silence=0, min_utterance_length=300)), enable_endpoint=True, hotwords_file="", hotwrods_score=1.5)
Current sample rate: 16000
Recording started!
Use recording device: default
0:床前明月光
1:疑似地上霜
2:举头望明月
3:低头思故乡
4:你好^Z[1] Stopped ./sherpa-ncnn-alsa ./tokens.txt ./encoder_jit_trace-pnnx.ncnn.param ./encoder_jit_trace-pnnx.ncnn.bin ./decoder_jit_trace-pnnx.ncnn.param ./decoder_jit_trace-pnnx.ncnn.bin ./joiner_jit_trace-pnnx.ncnn.param ./joiner_jit_trace-pnnx.ncnn.bin "default" 4 greedy_search
[root@ATK-DLRV1126:/userdata/rv1126]#
