👉 The Transcript Project involves creating, annotating, and sharing high-quality transcriptions of spoken language data, often from interviews, lectures, or conversations. This project aims to improve natural language processing (NLP) models by providing well-structured, annotated transcripts that capture nuances like pauses, intonation, and context. Researchers and developers use these transcripts to train and refine models for tasks such as speech recognition, sentiment analysis, and language translation, enhancing the accuracy and reliability of AI systems in understanding human speech.
