# WhisperBenchmarks

This repository provides easy-to-use benchmarks using audio and video content from the Internet Archive, specifically targeting various challenging scenarios in audio recordings.

## Links

| Categories            | Title                 | Links                                                                                                 |
|-----------------------|-----------------------|-------------------------------------------------------------------------------------------------------|
| Poor mic placement    | Body camera footage from July 10 traffic stop | [Internet Archive](https://archive.org/details/cobmn-Body_camera_footage_from_July_10_traffic_stop)   |
| Thick accents         | Moonshine for Medicine Popcorn Sutton | [Internet Archive](https://archive.org/details/this-is-the-last-dam-run-of-likker-ill-ever-make-full-movie/+Moonshine+for+Medicine++++Popcorn+Sutton.mp4) |
| Artifacts in audio     | 2002 007 Movie Trailer Commercial Bad Video | [Internet Archive](https://archive.org/details/2002variouscommercials/2002+007+Movie+Trailer+Commercial+Bad+Video.mp4) |
| Ideal audio (one speaker) | 8 Bit Bookclub | [Internet Archive](https://archive.org/details/8-bit-bookclub/36+-+ANNOUNCEMENT++SUMMER+HIATUS.mp3) |

## How to Run Whisper Benchmarks

-- TODO --

## Results

Links are embeded for each category

### CPU Benchmarks

|  CPU Model | Poor mic placement (s) | Thick accents (s) | Artifacts in audio (s) | Ideal audio (one speaker) | (Docker/Native) |
|-|-|-|-|-|-|

### GPU Benchmarks

|  GPU Model | Poor mic placement (s) | Thick accents (s) | Artifacts in audio (s) | Ideal audio (one speaker) | (Docker/Native) |
|-|-|-|-|-|-|

## Example

## Todo:
- [ ] Write easy bash scripts for running a set of benchmarks with an easy cleanup
- [ ] Finalize a standard format for exporting the data into a spreadsheet