Whisper AI Howto
Whisper is an open-source automatic speech recognition system from OpenAI that approaches human-level accuracy and robustness for transcribing and translating speech in multiple languages.
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Install Whisper: Install Whisper using pip by running: pip install git+https://github.com/openai/whisper.git
Install ffmpeg: Install the ffmpeg command-line tool, which is required by Whisper. On most systems, you can install it using your package manager.
Import Whisper: In your Python script, import the Whisper library: import whisper
Load the Whisper model: Load a Whisper model, e.g.: model = whisper.load_model('base')
Transcribe audio: Use the model to transcribe an audio file: result = model.transcribe('audio.mp3')
Access the transcription: The transcription is available in the 'text' key of the result: transcription = result['text']
Optional: Specify language: You can optionally specify the audio language, e.g.: result = model.transcribe('audio.mp3', language='Italian')
Whisper AI FAQs
Whisper is an automatic speech recognition (ASR) system developed by OpenAI. It is trained on 680,000 hours of multilingual and multitask supervised data collected from the web, and can transcribe speech in multiple languages as well as translate it to English.
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