finalize project by adding recogniztionduration

compile.txt

@@ -6,6 +6,8 @@ g++ -O3 minimal_mic.cpp \
 
 g++ -O3 doubao_mic.cpp     -I. -I./include -I./ggml/include -I./examples     ./build_gpu/src/libwhisper.so     -L/usr/local/cuda/lib64 -lcudart -lcublas  -lportaudio   -lpthread -ldl -lm -lrt -o doubao_mic.exe
 
+g++ -std=c++17 -O3 doubao_mic.cpp     -I. -I./include -I./ggml/include -I./examples     ./build_gpu/src/libwhisper.so     -L/usr/local/cuda-13.1/lib64     -lcudart -lcublas -lportaudio -lpthread -ldl -lm -lrt     -o doubao_mic.exe
+
 gpu build:
 # 显式指定使用 CUDA 13.1 编译
 cmake -B build -DGGML_CUDA=ON -DCMAKE_CUDA_COMPILER=/usr/local/cuda-13.1/bin/nvcc

doubao_mic.cpp

@@ -144,6 +144,7 @@ int main(int argc, char** argv) {
         { std::lock_guard<std::mutex> lock(buffer_mutex); captured = audio_buffer; }
         
         printf("\n🔍 正在识别 (音频长度: %.2fs)...", (float)captured.size()/RecordingConfig::SAMPLE_RATE);
+        auto start_recognition = std::chrono::steady_clock::now();
         
         whisper_full_params wparams = whisper_full_default_params(WHISPER_SAMPLING_GREEDY);
         wparams.language = "zh";
@@ -154,7 +155,8 @@ int main(int argc, char** argv) {
         whisper_full(ctx, wparams, captured.data(), captured.size());
         
         int n_segments = whisper_full_n_segments(ctx);
-        printf("\n📝 识别结果：");
+        auto elapsed = std::chrono::duration_cast<std::chrono::milliseconds>(std::chrono::steady_clock::now() - start_recognition).count();
+        printf("\n📝 识别结果(%.2f秒)：", elapsed/1000.0f);
         for (int i = 0; i < n_segments; ++i) {
             printf("\n   %s", whisper_full_get_segment_text(ctx, i));
         }