Speech Text Transcript

Speech text transcripts are the textual representations of spoken language, crucial for various applications ranging from meeting summarization to language learning and risk assessment in finance. Current research focuses on improving the accuracy and efficiency of automatic speech recognition (ASR) systems, including addressing challenges like numeric expression formatting and handling non-verbatim transcripts, often employing large language models (LLMs) and novel algorithms like NaturalTurn for turn segmentation. These advancements are significant because accurate transcripts are essential for downstream tasks like machine translation, question answering, and the development of more sophisticated multimodal models that integrate audio and textual information for improved analysis and understanding of spoken language.