1. 进一步拓展了语音识别，目前可以从sd卡导入模型，避免了model文件占用flash分区大小

2. 进一步修改了语音识别，关闭了关键词唤醒功能，只保留了指令识别功能
3. 构建了业务层的基本框架(增加了底层驱动对于的C++兼容)，业务代码采用C++编写，启用了RTTI(运行时类型识别)

InstructionCreater/multinet_pinyin.py

@@ -0,0 +1,56 @@
+from pypinyin import pinyin, Style
+import argparse
+import re
+
+def chinese_to_pinyin(text):
+    # Use regular expression to extract Chinese characters
+    chinese_text = ''.join(re.findall(r'[\u4e00-\u9fa5]', text))
+    
+    out = "static const sr_cmd_t sr_commands[] = {\n"
+    enum = "enum {\n"
+    
+    cmd_id = 0
+    text_list = chinese_text.split(";")
+    
+    for item in text_list:
+        item = item.strip()  # Remove leading and trailing spaces
+        if not item:
+            continue
+        
+        item = item.split(",")
+        phrase_id = 0
+        pinyin_list_all = []
+        for phrase in item:
+            phrase = phrase.strip()  # Remove leading and trailing spaces
+            if not phrase:
+                continue
+            
+            # Convert Chinese phrase to pinyin with spaces between each syllable
+            pinyin_list = pinyin(phrase, style=Style.NORMAL, heteronym=False)
+            # Join pinyin list with spaces
+            phoneme = ' '.join([py[0] for py in pinyin_list])
+            
+            out += f'  {{ {cmd_id}, "{phoneme}", "{phoneme}" }},\n'
+            
+            if phrase_id == 0:
+                enum += f'  SR_CMD_{phoneme.upper().replace(" ", "_")},\n'
+            
+            phrase_id += 1
+        
+        cmd_id += 1
+    
+    out += "};\n"
+    enum += "};\n"
+    
+    print(enum)
+    print(out)
+
+    return out
+
+if __name__ == "__main__":
+    parser = argparse.ArgumentParser(prog="Chinese Speech Commands to Pinyin")
+    parser.add_argument("text", type=str, default=None, help="input text")
+    args = parser.parse_args()
+
+    if args.text is not None:
+        chinese_to_pinyin(args.text)