Meeting Transcript

Meeting transcription research focuses on automatically generating accurate and informative summaries of spoken conversations, addressing challenges posed by the length and complexity of meeting recordings. Current efforts concentrate on developing sophisticated algorithms, including those based on large language models and transformer architectures, to improve summarization accuracy, particularly by incorporating action items and query-focused approaches, and enhancing speaker diarization through spatial audio processing. These advancements are significant for improving meeting productivity and accessibility, enabling efficient information retrieval and analysis from large volumes of audio data.