Summary of Best Speech-to-Text Project in 3 Lines of Python Code | OpenAI Whisper 2022

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00:00:00 - 00:10:00

This YouTube video provides a quick and easy way to transcribe audio files using the open source artificial intelligence library, "whisper." The video first shows how to install the library and then load the model. Next, the author demonstrates how to use the library to do English speech recognition and transcription. Finally, the video shows how to print the text of the result while the model is transcribing.

  • 00:00:00 In this 1-minute video, the author shows how to use the open-source artificial intelligence library, "whisper," to do speech recognition and text transcription. The author first installs the library and then shows how to load the model. He then demonstrates how to use the library to do English speech recognition and transcription.
  • 00:05:00 This YouTube video shows how to transcribe an audio clip using speech recognition and text-to-speech technology. The first step is to download the audio file from the internet. The next step is to use the bash command W get to output the audio file into the file name audio.mp3. Then, model.transcribe audio dot MP3 will transcribe the audio clip. Finally, you can print the text of the result while the model is transcribing.
  • 00:10:00 This YouTube video shows how to create a speech to text project in less than three lines of Python code. The project includes an open source model called "OpenAI Whisper," and is aimed at people who don't know how to do speech to text.

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