examples: refine whisper-mic params and upstream-style cmake

This commit is contained in:
nick huang 2026-03-20 07:50:30 +08:00
parent f71c28cad5
commit 31f154ff26
2 changed files with 117 additions and 39 deletions

View File

@ -1,19 +1,8 @@
cmake_minimum_required(VERSION 3.10)
project(whisper-mic)
set(TARGET whisper-mic)
add_executable(${TARGET} whisper-mic.cpp)
add_executable(whisper-mic whisper-mic.cpp)
include(DefaultTargetOptions)
target_include_directories(whisper-mic PRIVATE
${CMAKE_SOURCE_DIR}/..
${CMAKE_SOURCE_DIR}/../..
${CMAKE_SOURCE_DIR}/../../include
${CMAKE_SOURCE_DIR}/../../ggml/include
)
target_link_libraries(${TARGET} PRIVATE common whisper ${CMAKE_THREAD_LIBS_INIT})
target_link_libraries(whisper-mic PRIVATE whisper pthread dl m rt)
set_target_properties(whisper-mic PROPERTIES
CXX_STANDARD 17
CXX_STANDARD_REQUIRED YES
CXX_EXTENSIONS NO
)
install(TARGETS ${TARGET} RUNTIME)

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@ -1,3 +1,53 @@
#include <string>
struct mic_params {
std::string model = "models/ggml-base.bin";
int timeout = 30;
int capture_id = 5;
std::string language = "zh";
bool use_gpu = true;
};
void mic_print_usage(int argc, char ** argv, const mic_params & params) {
printf("\n");
printf("usage: %s [options]\n", argv[0]);
printf("\n");
printf("options:\n");
printf(" -h, --help show this help message and exit\n");
printf(" -m F, --model F [%-7s] model path\n", params.model.c_str());
printf(" -t N, --timeout N [%-7d] max recording time in seconds\n", params.timeout);
printf(" -c N, --capture N [%-7d] capture device ID\n", params.capture_id);
printf(" -l S, --language S [%-7s] language (e.g. zh, en)\n", params.language.c_str());
printf(" -ng, --no-gpu [%-7s] disable GPU inference\n", params.use_gpu ? "false" : "true");
printf("\n");
printf("example: %s -m models/ggml-base.bin -t 30 -c 0 -l zh\n", argv[0]);
printf("\n");
}
static bool mic_params_parse(int argc, char ** argv, mic_params & params) {
for (int i = 1; i < argc; i++) {
std::string arg = argv[i];
if (arg == "-h" || arg == "--help") {
mic_print_usage(argc, argv, params);
exit(0);
} else if (arg == "-m" || arg == "--model") {
params.model = argv[++i];
} else if (arg == "-t" || arg == "--timeout") {
params.timeout = std::stoi(argv[++i]);
} else if (arg == "-c" || arg == "--capture") {
params.capture_id = std::stoi(argv[++i]);
} else if (arg == "-l" || arg == "--language") {
params.language = argv[++i];
} else if (arg == "-ng" || arg == "--no-gpu") {
params.use_gpu = false;
} else {
fprintf(stderr, "error: unknown argument: %s\n", arg.c_str());
mic_print_usage(argc, argv, params);
exit(1);
}
}
return true;
}
#include "whisper.h"
#include "common.h"
#define MINIAUDIO_IMPLEMENTATION
@ -20,7 +70,7 @@ struct RecordingConfig {
static constexpr int PROGRESS_MS = 100;
static constexpr int UI_LOOP_MS = 10;
static constexpr int SELECT_TIMEOUT_MS = 20;
static constexpr int SMOOTH_FINISH_MS = 1500;
static constexpr int SMOOTH_FINISH_MS = 300;
static constexpr int CLOCK_TOLERANCE_MS = 350;
// 用于清理控制台残余的空格
static const char* CLEAR_LINE;
@ -61,22 +111,37 @@ void data_callback(ma_device* pDevice, void* pOutput, const void* pInput, ma_uin
int main(int argc, char** argv) {
signal(SIGINT, signal_handler);
if (argc < 2) return 1;
if (argc >= 3) g_timeout_limit = atoi(argv[2]);
mic_params params;
mic_params_parse(argc, argv, params);
g_timeout_limit = params.timeout;
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);
cparams.use_gpu = params.use_gpu;
struct whisper_context* ctx = whisper_init_from_file_with_params(params.model.c_str(), cparams);
if (!ctx) {
fprintf(stderr, "Failed to load model from '%s'\n", params.model.c_str());
return 1;
}
ma_context context; ma_context_init(NULL, 0, NULL, &context);
ma_context context;
if (ma_context_init(NULL, 0, NULL, &context) != MA_SUCCESS) {
fprintf(stderr, "Failed to initialize miniaudio context\n");
whisper_free(ctx);
return 1;
}
ma_device_info* pCapInfos; ma_uint32 capCount;
ma_context_get_devices(&context, NULL, NULL, &pCapInfos, &capCount);
if (ma_context_get_devices(&context, NULL, NULL, &pCapInfos, &capCount) != MA_SUCCESS || capCount == 0) {
fprintf(stderr, "No audio capture devices found\n");
ma_context_uninit(&context);
whisper_free(ctx);
return 1;
}
printf("\n📜 可用麦克风列表:\n");
for (ma_uint32 i = 0; i < capCount; ++i) printf(" [%u] %s\n", i, pCapInfos[i].name);
printf("👉 请输入设备 ID (默认5): ");
ma_uint32 dev_id = 5;
if(scanf("%u", &dev_id) != 1) dev_id = 5;
printf("👉 请输入设备 ID (默认%d): ", params.capture_id);
ma_uint32 dev_id = params.capture_id;
if(scanf("%u", &dev_id) != 1) dev_id = params.capture_id;
clear_stdin();
ma_device_config devCfg = ma_device_config_init(ma_device_type_capture);
@ -84,8 +149,20 @@ int main(int argc, char** argv) {
devCfg.sampleRate = RecordingConfig::SAMPLE_RATE; devCfg.dataCallback = data_callback;
if (dev_id < capCount) devCfg.capture.pDeviceID = &pCapInfos[dev_id].id;
ma_device device; ma_device_init(&context, &devCfg, &device);
ma_device_start(&device);
ma_device device;
if (ma_device_init(&context, &devCfg, &device) != MA_SUCCESS) {
fprintf(stderr, "Failed to initialize audio capture device\n");
ma_context_uninit(&context);
whisper_free(ctx);
return 1;
}
if (ma_device_start(&device) != MA_SUCCESS) {
fprintf(stderr, "Failed to start audio capture device\n");
ma_device_uninit(&device);
ma_context_uninit(&context);
whisper_free(ctx);
return 1;
}
while (!exit_program.load()) {
printf("\n=============================================\n");
@ -136,24 +213,36 @@ int main(int argc, char** argv) {
}
}
std::this_thread::sleep_for(std::chrono::milliseconds(RecordingConfig::SMOOTH_FINISH_MS));
is_recording.store(false);
// Stop progress meter immediately
is_recording.store(false);
if (progress_thread.joinable()) progress_thread.join();
// Now wait for smooth finish (buffer tail)
std::this_thread::sleep_for(std::chrono::milliseconds(RecordingConfig::SMOOTH_FINISH_MS));
std::vector<float> captured;
{ std::lock_guard<std::mutex> lock(buffer_mutex); captured = audio_buffer; }
if (captured.empty()) {
printf("\n⚠️ 没有录制到音频,跳过识别。\n");
continue;
}
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";
// 【正式固化】简体中文引导词
wparams.initial_prompt = "以下是普通话,使用简体中文输出。";
wparams.language = params.language.c_str();
if (params.language == "zh") {
wparams.initial_prompt = "以下是普通话,使用简体中文输出。";
}
wparams.n_threads = 4;
whisper_full(ctx, wparams, captured.data(), captured.size());
if (whisper_full(ctx, wparams, captured.data(), captured.size()) != 0) {
printf("\n❌ 语音识别失败。\n");
continue;
}
int n_segments = whisper_full_n_segments(ctx);
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);