The README still listed the settings UI as "todo" and its quick start told
users to download models into the working directory; phase 3 still described
the caption window's close button as "quit" and used the wrong binary name.
Bring the docs up to date and fill the gaps: a GUI guide (first run, settings
tabs, tray, download, verify), a full CLI option reference marking the
test-only flags, a troubleshooting page, the model registry's size/sha256
fields plus a licence/size table, the RTF measurement caveat (llama-cli 0.19
vs the in-process 0.56), and a note that the streaming-ONNX backend has its
own code path. phase0/phase1 experiment docs are marked as historical.
文档与现状对齐：README 的 Phase 4 从「待做」改为完成、快速开始不再让人把模型下到当前
目录；phase3 的 ✕ 说明改为「隐藏到托盘」、用法改用 live-caption；新增 GUI/CLI/排错三份
文档；asr-backends 补上注册表的 size/sha256 字段与模型许可/体积表；phase0 补上 RTF 口径
说明（llama-cli 的 0.19 与程序内的 0.56）；phase2 补上「流式 ONNX 走另一条分支」的说明。
Split applying settings from closing the dialog, so appearance changes
(opacity, font size, line counts) can be previewed without dismissing it.
The caption window now listens to settingsApplied and updates immediately;
only model, language or capture-device changes restart the ASR backend.
设置对话框新增「应用」按钮：应用设置但不关闭对话框，方便实时预览（不透明度、
字号等立刻可见）。字幕窗改为监听 settingsApplied 即时更新；只有模型/识别语言/
采集设备变化才重启识别后端，外观调整不会打断正在进行的转写。
Accepting the settings dialog quit the app: with a tray-resident program
"last window closed" must not mean "quit", but QApplication's default
made it so, and on first run the dialog is the only window. Disable
quitOnLastWindowClosed. Also fix listOutputDevices hanging forever
(its callbacks never signalled the PulseAudio main loop), enlarge the
caption window's close button, and add capture-device selection
(enumerated sinks, settings combo, --list-devices/--device) plus model
integrity verification (size + sha256 in the registry, --verify-model and
a "校验完整性" button).
点「确定」后程序自己退出：本程序常驻托盘，"最后一个窗口关闭"不该等于退出，
但 QApplication 默认如此，而首次启动时设置对话框正是唯一窗口。已关闭该默认
行为。同时修复 listOutputDevices 永久卡死（回调没有 signal 主循环）、放大
字幕窗关闭按钮，并新增采集设备选择与模型完整性校验（注册表含 size/sha256，
提供 --verify-model 与设置里的「校验完整性」按钮）。
A live caption stream never ends: the boundary of an utterance is silence,
not end-of-input, so InputFinished (which means "no more audio ever") does
not apply. Drop it and rely on the trailing audio alone; keep a short
silence padding as a safety net for end-of-file cases. Verified that the
file path still emits the final character without InputFinished.
实时字幕的音频流永不结束，一句话的边界是"静音"而不是"输入结束"，所以
不该调用语义为"再也不会有音频"的 InputFinished。改为只补一小段静音兜底，
实测文件模式的结果依然完整。文档也一并更正。
Add a second backend (sherpa-onnx) alongside llama.cpp, so native
streaming models can be selected by ID from a JSON registry. All such
models share one adapter: only the model files and a few options differ.
Models now live under the app data directory and are fetched by
scripts/fetch-models.sh. Adding a model is a data change, not code.
Measured on the same audio: the streaming backend is ~35x cheaper in CPU
than Qwen3-ASR (0.10-0.12 vs 4.27 core-seconds per audio second), shows
the first caption at 0.48-1.44s, and matches its accuracy for zh/en.
新增 sherpa-onnx 流式后端，与 llama.cpp 并存；模型按注册表 id 从应用
数据目录加载。同族模型共用一个适配器，新增模型只改 data/models.json。
实测流式后端 CPU 约为 Qwen3-ASR 的 1/35，首个字幕 0.48~1.44s，中英
准确率持平。注意预编译库是旧 C++ ABI，必须走其 C API。
blumia