How do automated AI transcription services handle industry specific jargon and proper nouns in complex investigative journalism podcasts
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Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
How do automated AI transcription services handle industry specific jargon and proper nouns in complex investigative journalism podcasts
2 real searches · 1 real-search pass
Badge and edge weight = share of passes that produced the query. Hover a query for its intent and routing format.
Query classes
Google's semantic query class for every sub-query: what kind of answer each search is after, simulated vs real.
ChatGPT real searches (2)
Classes come from the query-classifier (a local Laya model). 2 of 2 calls are low-confidence (under 50%) — hover a query in the table to see its confidence.
Searches and sources
ChatGPT2 real searches · gpt-6
automatic speech recognition domain-specific vocabulary proper nouns custom vocabulary transcription accuracy investigative journalism podcasts Google ↗
Whisper speech recognition proper nouns hallucinations named entities transcription evaluation research Google ↗
- Using collection context to reduce errors in automated transcription of historical audio · internethistoryinitiative.org
- whisper/model-card.md at main · openai/whisper · github.com
- Improving transcription accuracy with custom vocabularies and custom language models · docs.aws.amazon.com
- Build a custom vocabulary to enhance speech-to-text transcription accuracy with Amazon Transcribe · aws.amazon.com
- Humanizing Word Error Rate for ASR Transcript Readability and Accessibility · machinelearning.apple.com
Queries
2 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
automatic speech recognition domain-specific vocabulary proper nouns custom vocabulary transcription accuracy investigative journalism podcasts OBSERVED | Google ↗ AI Mode ↗ | — | Reason | — | — | 1x of 1 | |
Whisper speech recognition proper nouns hallucinations named entities transcription evaluation research OBSERVED | Google ↗ AI Mode ↗ | — | Reason | — | — | 1x of 1 |