Bibliography:

  1. ‘GPT’ tag

  2. How Tech Giants Cut Corners to Harvest Data for AI: OpenAI, Google and Meta ignored corporate policies, altered their own rules and discussed skirting copyright law as they sought online information to train their newest artificial intelligence systems

  3. Careless Whisper: Speech-to-Text Hallucination Harms

  4. Distil-Whisper: Robust Knowledge Distillation via Large-Scale Pseudo Labelling

  5. Whisper-AT: Noise-Robust Automatic Speech Recognizers are Also Strong General Audio Event Taggers

  6. Why YouTube Could Give Google an Edge in AI

  7. WhisperX: Time-Accurate Speech Transcription of Long-Form Audio

  8. Whisper: Robust Speech Recognition via Large-Scale Weak Supervision

  9. ESB: A Benchmark For Multi-Domain End-to-End Speech Recognition

  10. The History of Speech Recognition to the Year 2030

  11. The History of Speech Recognition to the Year 2030

  12. SpeechStew: Simply Mix All Available Speech Recognition Data to Train One Large Neural Network

  13. 2022-radford-figure1-overviewofwhispertransformerarchitecture.png

  14. 2022-radford-figure3-correlationofpretrainingdataperlanguagewithlanguageperformance.jpg

  15. 2022-radford-figure4-correlationofpretraininglanguagedatawithtranslationperformance.jpg

  16. 2022-radford-figure6-whisperbenchmarksagainstrivalsacrossotherdatasets.png

  17. 2022-radford-figure7-whispervsprofessionalhumantranscribersonkincaid46.jpg

  18. 2022-radford-figure8-whisperscalingbymodelsize.png

  19. 2022-radford-figure9-crossoverinmonolingualvsmultilingualtrainingscalingshowseventualtransfer.jpg

  20. https://cookbook.openai.com/examples/whisper_prompting_guide

  21. 0735557bf27103c12647d313cf3a37a6ea4a25fc.html

  22. https://github.com/alphacep/whisper-prompts

  23. d6b56cbbe14fb271e080aea108a649c3c0887eb7.html

  24. https://github.com/collabora/WhisperSpeech

  25. https://github.com/openai/whisper/blob/main/model-card

  26. https://github.com/openai/whisper/discussions/1762#discussion-5819873

  27. https://huggingface.co/blog/fine-tune-whisper

  28. https://openai.com/blog/introducing-chatgpt-and-whisper-apis

  29. https://openai.com/research/whisper

  30. https://paul.mou.dev/posts/2023-12-31-listening-with-llm/

  31. e40f23246babd65cba7a5462b9eac2e4b7c2cc91.html

  32. https://www.lesswrong.com/posts/KbRxdBCcJqwtbiPzm/whisper-s-wild-implications-1

  33. https://www.lesswrong.com/posts/thePw6qdyabD8XR4y/interpreting-openai-s-whisper

  34. https://x.com/apples_jimmy/status/1790158228359368894

  35. How Tech Giants Cut Corners to Harvest Data for AI: OpenAI, Google and Meta ignored corporate policies, altered their own rules and discussed skirting copyright law as they sought online information to train their newest artificial intelligence systems

  36. https://x.com/cademetz

  37. https%253A%252F%252Fwww.nytimes.com%252F2024%252F04%252F06%252Ftechnology%252Ftech-giants-harvest-data-artificial-intelligence.html.html

  38. Why YouTube Could Give Google an Edge in AI

  39. https%253A%252F%252Fwww.theinformation.com%252Farticles%252Fwhy-youtube-could-give-google-an-edge-in-ai.html

  40. Whisper: Robust Speech Recognition via Large-Scale Weak Supervision

  41. Alec Radford

  42. Jong Wook Kim

  43. https%253A%252F%252Farxiv.org%252Fabs%252F2212.04356%2523openai.html

  44. ESB: A Benchmark For Multi-Domain End-to-End Speech Recognition

  45. https://rush-nlp.com/

  46. https%253A%252F%252Farxiv.org%252Fabs%252F2210.13352%2523huggingface.html

  47. Wikipedia Bibliography:

    1. Greg Brockman

    2. Ilya Sutskever