Audio to Text Using Whisper in Python (With Code)

In this tutorial, I'll show you how to use OpenAI's Whisper Model for Automatic Speech Recognition (ASR) in Google Colab. We’ll be working with the 'facebook/voxpopuli' dataset and a pipeline to process audio files chunk by chunk, making speech-to-text conversion easy and scalable.

By following along, you'll learn how to:

Set up the Whisper model in Google Colab.
Stream and process the VoxPopuli dataset for speech-to-text tasks.
Use a pipeline for efficient chunking and processing of audio files.
Whether you're working on a speech-to-text project, building an ASR system, or just curious about using state-of-the-art AI models, this step-by-step tutorial has got you covered.

Key Highlights:

OpenAI Whisper Model walkthrough
Using Facebook VoxPopuli dataset for ASR
Real-time transcription of audio files
Efficient audio chunk processing
🔑 Keywords: Speech Recognition, Google Colab, Whisper Model, Automatic Speech Recognition, AI Speech-to-Text, VoxPopuli Dataset, ASR Tutorial, Python Speech Recognition

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#AI #SpeechRecognition #GoogleColab #OpenAI #WhisperModel #ASR #MachineLearning #SpeechToText #PythonAI

[AITrendsTechChaitanya-xt]

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