In this tutorial, we dive into the practical implementation of OpenAI's Whisper model for automatic speech recognition (ASR). From dataset preparation to feature extraction and making predictions, we cover every essential step in Jupyter Notebook. 🔑 What You’ll Learn: Setting up and exploring ASR datasets Extracting audio features for Whisper Tokenization and label encoding for text Model predictions and loss calculations Practical tips for debugging and optimization 📂 Code and Resources: Find everything on our GitHub! (link below) ============================= ▶️ For 1:1 consultation on Topmate: 📌 freelance profile: ~012513f43380c0b7b7?mp_source=share ============================= 🔗Links🔗 GitHub: LinkedIn: Google Scholar: ============================= WhatsApp inquiries are currently closed. Please reach out via email for any questions: mohandash96@ ============================= #translate #transcribe #ai #huggingface #openai #whisper #buzz #transcription #translation #aitools