| Age | Commit message (Collapse) | Author | Files | Lines | |
|---|---|---|---|---|---|
| 2025-08-24 | try finetuning encoder-decoder model like t5gemmaHEADmaster | vin | 6 | -25/+186 | |
| Unfortunately once it finishes the finetuning process, it doesn't actually output anything. With decoder-only models like small gemma3, it also doesn't output anything meaningful. I'm tempted to just classify each token as an ad or not, finetune an encoder like some long-context BERT, and then a post-processing script to convert back to tokens and their timestamps. May end up being more performant and efficient too... | |||||
| 2025-08-23 | add finetuning scripts | vin | 2 | -0/+122 | |
| 2025-08-23 | add helper script to split dataset.jsonl | vin | 1 | -0/+62 | |
| 2025-08-23 | add helper script for reviewing input into dataset | vin | 2 | -1/+124 | |
| 2025-08-23 | adapt asr.py for multiple file inputs | vin | 1 | -32/+30 | |
| 2025-08-23 | add highlight/visualizer script and update system prompt | vin | 2 | -30/+155 | |
| 2025-08-22 | whisper.cpp replaced by onnx-asr | vin | 1 | -42/+0 | |
| 2025-08-22 | update main script | vin | 3 | -417/+134 | |
| 2025-08-22 | add formatting | vin | 2 | -3/+291 | |
| 2025-08-22 | improve asr.py | vin | 1 | -54/+65 | |
| 2025-08-22 | update with newer parakeet | vin | 1 | -1/+1 | |
| 2025-08-13 | add parakeet asr via onnx | vin | 1 | -0/+68 | |
| found out that nvidia's parakeet has onnx support. it's about 4-5x faster than openai's whisper-large-v3-turbo (via whisper.cpp) and seems more accurate too without lots of errors near the end of the transcript. I thought I lost this repo, turns out I wasn't stupid and already had it pushed. | |||||
| 2025-07-19 | provide better examples in system prompt and retry on error | vin | 1 | -69/+215 | |
| 2025-07-19 | save output in data/, not where podcasts are | vin | 1 | -4/+14 | |
| 2025-07-19 | change chunking to overlapping time segments | vin | 1 | -55/+52 | |
| 2025-07-19 | output data in jsonl | vin | 1 | -4/+6 | |
| 2025-07-19 | respect ratelimit and change output extension to .gpt | vin | 1 | -40/+38 | |
| 2025-07-19 | remove prototyping llm prints, use tqdm, use arguments as inputs | vin | 1 | -140/+134 | |
| 2025-07-18 | initial payload | vin | 2 | -0/+334 | |
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index : podcast-sponsor-remove | |
| Attempt at identify sponsored segments in audio transcripts and removing them. | Vineet K |
| summaryrefslogtreecommitdiff |