This project focuses on designing a digital voice assistant for vehicle command recognition. This system leverages three key techniques: speech-to-text conversion using Vosk, a lightweight LLM model, text classification with an SVM, and out-of-distribution (OOD) sentence detection with calibrated probabilities through Platt scaling.
☆10Oct 26, 2024Updated 2 years ago
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