Google AI Researchers Introduce DiarizationLM: A Machine Learning Framework to Leverage Large Language Models (LLM) to Post-Process the Outputs from a Speaker Diarization System

In audio processing, speaker diarization is a critical yet challenging task. This technique, pivotal in discerning individual voices in multi-speaker environments, holds immense value across various applications. From enhancing the clarity of conference calls to aiding in transcribing legal proceedings, its utility is far-reaching. Despite its importance, the task is fraught with complexities. Traditional diarization […]

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