speech-to-intent-dataset

speech-to-intent-dataset is a GitHub repository that provides a dataset for training speech recognition models to understand user intents. The dataset includes audio recordings and corresponding transcriptions, which are labeled with specific intents. This tool is particularly useful for developers working on voice assistants and conversational AI systems. It uses natural language processing (NLP) techniques to analyze and categorize speech data into meaningful intents, enabling more accurate and context-aware voice interactions.