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recording-transcriptionlisted

Turns a manually supplied meeting or one-on-one recording (phone recording, m4a/mp3/wav — anything that is not a Teams meeting) into a reliable transcript. Probes whether local Whisper is usable, normalises and chunks long audio, transcribes in the background with progress polling, converts Simplified to Traditional, and cross-checks names and jargon against the iPhone dictation draft the user supplies — then hands the transcript and interview analysis to memorb-ingest. Use whenever a recording, transcript, transcription, one-on-one, speech-to-text, STT, or m4a file comes up and the source is not a Teams meeting. Depends on memorb-conventions; feeds memorb-ingest. Triggers: recording, transcript, transcription, interview, one-on-one, speech to text, STT, m4a, 錄音, 逐字稿, 轉錄, 面談, 語音轉文字, m4a.
iamjosuho/memOrb · ★ 1 · Data & Documents · score 64
Install: claude install-skill iamjosuho/memOrb
# recording-transcription ## Overview - The audio is **a file the user handed over** (phone, voice recorder, on-site capture) or text draft. - The result goes to `memorb-ingest` for the impact scan. ## The premise > A phone recording is the single-microphone problem in another guise: whoever sits near the phone comes through clearly, whoever sits far away may be muffled or talked over. **Do not assume the clear parts are the user speaking.** Work out the speaker from the content — question and answer pairs, forms of address, who owns the topic. > For a one-on-one with a manager or a colleague, **wording accuracy and timestamps matter more than they do for an ordinary meeting** — anything touching commitments, numbers, or dates should be marked uncertain rather than smoothed over by the model into something that merely reads well. ## Known environment limits (measured 2026-07-12 — read this before you start) - This sandbox's network allowlist covers package-ecosystem domains such as `pypi.org` and `github.com`, but **not `huggingface.co`**. `pip install faster-whisper` works fine; at run time it wants to fetch model weights from HF and that connection will always fail here. The `check` command detects this up front, so you do not discover it halfway through a background job. - **Any folder mounted from the real machine is append/overwrite-only — nothing can be deleted.** That covers the vault and the `outputs` scratch folder alike: `rm` on a file you have already writte