Academic workers can build an intelligent literature processing pipeline through the Whisper App:
- Information-gathering phase::
- Record group discussions in "continuous listening" mode and generate discussion points automatically
- Connect Zotero to directly transcribe PDF read-aloud content via `zotero-whisper` plugin
- Automatic storage of conference recordings in association with references
- Text processing stage::
- Enable academic-specific output templates (APA/MLA format)
- Tagging `@citation` automatically extracts key data from the literature
- Clean up filler words in transcribed text with regular expression filters
- Knowledge management phase::
- Building a Speech Knowledge Graph with the Obsidian plugin
- Set up automatic categorization rules (e.g. `/theory/` `/method/` tags)
- Export Markdown formatting to work seamlessly with LaTeX projects
The advanced solution is to deploy a local knowledge base and access LlamaIndex for semantic retrieval after vectorized storage of Transcripts. It is recommended that the research team use Docker compose to unify the management of the module containers.
This answer comes from the articleWhisper App: free speech-to-text & AI note organizer toolThe
May not be reproduced without permission:AI productivity tools " How to apply Whisper App for efficient documentation in academic research scenarios?
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