gemini fixed the timeout issue, most likely, but need device/mic selection back
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parent
3ec051f258
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5b4dfa1c15
120
doubao_mic.cpp
120
doubao_mic.cpp
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@ -19,7 +19,9 @@
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#include <fcntl.h>
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#include <sys/select.h>
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// =============================================
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// 全局状态管理
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// =============================================
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std::atomic<bool> is_recording(false);
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std::atomic<bool> exit_program(false);
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std::atomic<int> recorded_seconds(0);
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@ -29,7 +31,11 @@ std::vector<float> audio_buffer;
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std::mutex buffer_mutex;
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// 配置常量
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const int RECORD_TIMEOUT = 24; // 目标 30 秒
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int RECORD_TIMEOUT = 30; // 可变,支持动态测试
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// =============================================
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// 系统工具函数
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// =============================================
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void signal_handler(int sig) {
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if (sig == SIGINT) {
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@ -41,6 +47,7 @@ void signal_handler(int sig) {
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}
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}
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// 非阻塞检查标准输入(带毫秒超时)
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bool check_input_non_blocking(int timeout_ms = 20) {
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fd_set fds;
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FD_ZERO(&fds);
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@ -62,7 +69,11 @@ void clear_input_buffer() {
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}
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}
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// =============================================
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// 音频回调 (硬件驱动层)
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// =============================================
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void data_callback(ma_device* pDevice, void* pOutput, const void* pInput, ma_uint32 frameCount) {
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// 只要 is_recording 为 true,回调就会持续把数据写入 buffer
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if (!is_recording.load() || pInput == NULL) return;
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const float* pInputFloat = (const float*)pInput;
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std::lock_guard<std::mutex> lock(buffer_mutex);
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@ -70,34 +81,31 @@ void data_callback(ma_device* pDevice, void* pOutput, const void* pInput, ma_uin
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recorded_seconds.store(static_cast<int>(audio_buffer.size() / 16000.0));
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}
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void print_status_guide() {
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printf("\n=============================================\n");
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printf("🎙️ 操作提示:\n");
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printf(" ▶ [回车键] : 开始录制\n");
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printf(" ■ [回车键] : 停止录制并识别\n");
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printf(" ⏳ [自动停止]: 达到 %d 秒自动截断\n", RECORD_TIMEOUT);
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printf("=============================================\n");
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}
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// =============================================
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// 识别逻辑
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// =============================================
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void recognize_audio(struct whisper_context* ctx, const std::vector<float>& audio_data) {
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if (audio_data.empty()) return;
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float total_sec = (float)audio_data.size() / 16000.0f;
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printf("\n🔍 正在识别(总长度:%.2fs)...\n", total_sec);
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printf("\n🔍 正在识别(总采样长度:%.2fs)...\n", total_sec);
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auto t_start = std::chrono::steady_clock::now();
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whisper_full_params wparams = whisper_full_default_params(WHISPER_SAMPLING_GREEDY);
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wparams.language = "zh";
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wparams.n_threads = std::max(2, (int)std::thread::hardware_concurrency());
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wparams.print_progress = false;
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if (whisper_full(ctx, wparams, audio_data.data(), audio_data.size()) != 0) {
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fprintf(stderr, "❌ 识别失败\n");
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fprintf(stderr, "❌ Whisper 推理失败\n");
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return;
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}
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auto t_end = std::chrono::steady_clock::now();
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float msec = std::chrono::duration<float, std::milli>(t_end - t_start).count();
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printf("⏱️ 识别耗时:%.2f 秒 | 速度:%.2fx\n", msec/1000.0f, total_sec/(msec/1000.0f));
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printf("⏱️ 推理耗时:%.2f 秒 | 速度:%.2fx 实时\n", msec/1000.0f, total_sec/(msec/1000.0f));
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int n_segments = whisper_full_n_segments(ctx);
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printf("📝 结果:\n");
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@ -106,87 +114,113 @@ void recognize_audio(struct whisper_context* ctx, const std::vector<float>& audi
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}
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}
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// =============================================
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// 主程序
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// =============================================
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int main(int argc, char** argv) {
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signal(SIGINT, signal_handler);
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if (argc < 2) return 1;
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ma_context context;
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ma_context_init(NULL, 0, NULL, &context);
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ma_device_info* pCaptureInfos = NULL;
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ma_uint32 captureCount = 0;
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ma_context_get_devices(&context, NULL, NULL, &pCaptureInfos, &captureCount);
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if (argc < 2) {
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printf("Usage: %s <model_path> [timeout_seconds]\n", argv[0]);
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return 1;
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}
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if (argc >= 3) {
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RECORD_TIMEOUT = atoi(argv[2]);
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}
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// 1. Whisper 初始化 (强制 GPU 后端)
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struct whisper_context_params cparams = whisper_context_default_params();
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cparams.use_gpu = true;
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struct whisper_context* ctx = whisper_init_from_file_with_params(argv[1], cparams);
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if (!ctx) return 1;
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// 2. 音频设备初始化 (AB13X USB)
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ma_context context;
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ma_context_init(NULL, 0, NULL, &context);
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ma_device_config devCfg = ma_device_config_init(ma_device_type_capture);
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devCfg.capture.format = ma_format_f32;
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devCfg.capture.channels = 1;
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devCfg.sampleRate = 16000;
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devCfg.dataCallback = data_callback;
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if (captureCount > 5) devCfg.capture.pDeviceID = &pCaptureInfos[5].id; // 锁定你的 AB13X
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ma_device device;
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ma_device_init(&context, &devCfg, &device);
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if (ma_device_init(&context, &devCfg, &device) != MA_SUCCESS) return 1;
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ma_device_start(&device);
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while (!exit_program.load()) {
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print_status_guide(); // 修复:增加每轮提示
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printf("👉 等待按回车开始...");
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printf("\n=============================================\n");
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printf("🎙️ 操作提示 (当前超时: %d秒):\n", RECORD_TIMEOUT);
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printf(" ▶ [回车键] : 开始录制\n");
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printf(" ■ [回车键] : 停止录制 (会有1.5秒平滑收尾)\n");
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printf("=============================================\n");
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printf("👉 等待指令...");
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fflush(stdout);
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while (!check_input_non_blocking(50) && !exit_program.load());
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if (exit_program.load()) break;
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clear_input_buffer();
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// 开始录制
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// 重置状态
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{ std::lock_guard<std::mutex> lock(buffer_mutex); audio_buffer.clear(); }
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recorded_seconds.store(0);
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is_recording.store(true);
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auto start_time = std::chrono::steady_clock::now();
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printf("\n🎙️ 录制中 (按回车停止)... \n");
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printf("\n🎙️ 正在录制 (进度将在下方实时更新)... \n");
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// 进度显示线程
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std::thread progress_thread([&]() {
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while (is_recording.load() && !exit_program.load()) {
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printf("\r📊 进度: %d 秒", recorded_seconds.load());
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printf("\r📊 进度: %d 秒 ", recorded_seconds.load());
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fflush(stdout);
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std::this_thread::sleep_for(std::chrono::milliseconds(500));
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std::this_thread::sleep_for(std::chrono::milliseconds(200));
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}
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});
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bool stopped = false;
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while (!exit_program.load() && !stopped) {
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bool stop_triggered = false;
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while (!exit_program.load() && !stop_triggered) {
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auto now = std::chrono::steady_clock::now();
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// 修复:使用更精确的毫秒对比,并增加 500ms 冗余以确保达到 30s
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double elapsed = std::chrono::duration<double, std::milli>(now - start_time).count();
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double elapsed_ms = std::chrono::duration<double, std::milli>(now - start_time).count();
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// 检查手动停止
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if (check_input_non_blocking(10)) {
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char c;
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if (read(STDIN_FILENO, &c, 1) > 0 && c == '\n') {
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printf("\n🛑 手动停止录制...");
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stopped = true;
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printf("\n🛑 检测到手动回车,准备收尾...");
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stop_triggered = true;
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}
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} else if (elapsed >= (RECORD_TIMEOUT * 1000 + 500)) { // 严格 30.5 秒逻辑
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printf("\n⏱️ 达到 30 秒限制,自动切断...");
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stopped = true;
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}
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// 检查超时停止
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else if (elapsed_ms >= (RECORD_TIMEOUT * 1000)) {
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printf("\n⏱️ 达到 %d 秒阈值,准备收尾...", RECORD_TIMEOUT);
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stop_triggered = true;
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}
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std::this_thread::sleep_for(std::chrono::milliseconds(2));
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std::this_thread::sleep_for(std::chrono::milliseconds(5));
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}
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// --- 核心改动:平滑收尾逻辑 ---
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// 即使触发了停止,我们也不立即关闭 is_recording 开关
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// 这样可以确保正在 ALSA 缓冲区或 DMA 队列里的数据被 data_callback 继续捞走
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if (stop_triggered) {
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printf("正在执行 1.5 秒平滑数据刷新...");
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fflush(stdout);
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std::this_thread::sleep_for(std::chrono::milliseconds(1500));
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is_recording.store(false); // 此时才真正切断回调写入
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printf("完成。\n");
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}
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// 停止回调并捕获尾音
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std::this_thread::sleep_for(std::chrono::milliseconds(500));
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is_recording.store(false);
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if (progress_thread.joinable()) progress_thread.join();
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// 拷贝数据进行识别
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std::vector<float> captured;
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{ std::lock_guard<std::mutex> lock(buffer_mutex); captured = audio_buffer; }
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{
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std::lock_guard<std::mutex> lock(buffer_mutex);
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captured = audio_buffer;
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}
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recognize_audio(ctx, captured);
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}
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ma_device_uninit(&device);
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ma_context_uninit(&context);
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whisper_free(ctx);
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return 0;
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}
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