gemini fixed the timeout issue, most likely, but need device/mic selection back

This commit is contained in:
nick huang 2026-03-17 21:30:41 +08:00
parent 3ec051f258
commit 5b4dfa1c15
1 changed files with 77 additions and 43 deletions

View File

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