OpenAI Whisper: Open and Simple Speech-To-Text

Introduction

OpenAI has recently open-sourced Whisper, a state-of-the-art model designed to convert speech to text. The exciting part is that you can run it on your own computer using the provided GitHub repository. Here's a step-by-step guide to get you started:

Step 1: Install Whisper

First, you need to install the Whisper package. You can do this using your preferred package manager.

pip install whisper

Step 2: Load the Pre-trained Model

Once installed, you can load a pre-trained model of your choice. OpenAI provides several models to choose from, each varying in complexity and accuracy.

import whisper

model = whisper.load_model("base")

Step 3: Load the Audio File

Next, load the audio file you want to convert. Whisper supports various audio formats, so simply point to the location of your file.

audio = whisper.load_audio("path_to_your_audio_file.wav")

Step 4: Compute the Mel Spectrogram and Detect Language

Convert the audio file into a Mel spectrogram, and let the model detect the spoken language.

mel_spectrogram = whisper.compute_mel_spectrogram(audio)
detected_language = whisper.detect_language(mel_spectrogram)

Step 5: Decode and Generate Text Output

Finally, use the decode function to convert the audio into text. The model will process the Mel spectrogram and translate it into readable text output.

result = whisper.decode(model, mel_spectrogram)
text_output = result["text"]
print(text_output)

And there you have it! Speech-to-text conversion has never been so easy and accessible. We look forward to seeing the cool applications you will build with Whisper.

Keywords

• OpenAI
• Whisper
• Speech-to-Text
• Open Source
• GitHub
• Mel Spectrogram
• Pre-trained Model
• Python

FAQ

Q: What is Whisper by OpenAI?
A: Whisper is an open-source state-of-the-art model designed by OpenAI for converting speech to text.

Q: Can I run Whisper on my own computer?
A: Yes, you can run Whisper on your computer by using the provided GitHub repository.

Q: What is the first step to using Whisper?
A: The first step is to install the Whisper package using your preferred package manager, such as pip.

Q: Is Whisper compatible with various audio formats?
A: Yes, Whisper supports various audio formats for speech-to-text conversion.

Q: How does Whisper detect the spoken language?
A: Whisper detects the spoken language by computing the Mel spectrogram of the audio file.

Q: How do I convert an audio file into text using Whisper?
A: You can convert an audio file into text by loading the pre-trained model, computing the Mel spectrogram, detecting the language, and then using the decode function to generate the text output.