LLM Aided Transcription Improvement
AI
transcript cleanup
SHOW HN2024
11points
4comments
#2,489of 3,515 in 2024
Top 71%of 2024 by points
How HN took it
QuietFewer than 5 comments about the project
0 positive, 2 neutral or asking, 0 mixed, 0 critical, out of 2 comments about the project.
The thread, comment by comment
Each row is a top-level comment and its replies, in HN's order. Select a cell to open that comment on HN.
positive neutral or mixed critical about another commenter or something else the maker
What HN said
What people liked
Useful for turning voice memos and rambling recordings into readable text
From 1 comment
I record long, rambling voice memos in noisy environments which Whisper struggles to parse. Perhaps this can rescue me from the tedium of hand-stitching the fragmented results…
gavmor on HN
Objections
Garbage in, garbage out: poor Whisper output on noisy audio limits results
From 1 comment
I record long, rambling voice memos in noisy environments which Whisper struggles to parse. Perhaps this can rescue me from the tedium of hand-stitching the fragmented results…
gavmor on HN
Requests
Explain how chunk size is chosen and its effect on quality
From 1 comment
i'm curious about the chunk splitting approach you mentioned. how do you determine the optimal chunk size for processing? seems like there could be a tradeoff between context…
ramonverse on HN
Questions
How is the optimal chunk size determined and tested
From 1 comment
i'm curious about the chunk splitting approach you mentioned. how do you determine the optimal chunk size for processing? seems like there could be a tradeoff between context…
ramonverse on HN