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perf(asr): speed up local Flow dictation and land CLM/keyboard refactor

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Reduce perceived latency from key release to final text:
- Adaptive chunking: 2.5s first chunk + 5s follow-ups so short
  utterances start on-device recognition while still recording.
- Session-level ASR warmup and audio-format cache reuse to remove
  per-utterance cold-start of SpeechAnalyzer.
- Mirror live pipelined partials to the keyboard transcript line via
  a new flow.transcriptionPartial App Group key + Darwin ping.

Also commits the accumulated custom language model, Flow session,
keyboard extension restructure, and Xiaomi MiMo provider work in
progress on this branch.
This commit is contained in:
Rocky
2026-07-06 00:00:19 +08:00
parent cfbfb542cc
commit 537a68552a
76 changed files with 3456 additions and 121086 deletions
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Scripts/lexicon/prepare_clm.swift
+1 -1
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@@ -29,7 +29,7 @@ struct PrepareOptions {
.deletingLastPathComponent()
var input = repoRoot.appendingPathComponent(
"OSGKeyboard/Resources/CustomLanguageModel/v1/OSGKeyboardCLM.bin"
"OSGKeyboardShared/Resources/CustomLanguageModel/v1/OSGKeyboardCLM.bin"
)
var output = repoRoot.appendingPathComponent(
"OSGKeyboard/Resources/CustomLanguageModel/v1/compiled"