dictating to twin

Future Requirement — Digital Twin: Integrated STT Pipeline with Interactive Staging Area

Feature: End-to-end voice recording, transcription, and knowledge upload within the digital twin platform

Component 1 — Native Recording: User records directly inside the twin app (Android). No external tools like PLAUD or Whisper required. The system transcribes, sets speaker labels and timecodes automatically.

Component 2 — Interactive Staging Area: Before upload, the user enters a pre-upload workspace. Here the raw STT transcript is displayed with speaker labels and timecodes. The user corrects misheard words, false interpretations, and spelling errors. The twin learns from each correction and builds a personalized pronunciation profile for that specific user.

Component 3 — Personalized Pronunciation Profile: The system remembers permanently: how this user pronounces abbreviations, names, and domain-specific terms. Example: "Std." = Stunden, "Antanarivo" = Antananarivo. This profile eliminates recurring STT errors across all future sessions.

Component 4 — Label and Tag Insertion: Within the same staging area, the user adds semantic labels and tags before final upload. No separate editing step required.

Expected benefit: Reduces post-processing time from 4 hours to approximately 30 minutes. Produces authentic, uncompressed transcripts without bloated file sizes.

Priority: High

Submitted by: Wolfgang Hoeltgen, digital twin architect