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Speaker Diarization, the task of answering “Who spoken when?” - is an crucial component in many speech processing systems. From meeting transcription to customer service call analysis, diarization allows to segment signal by speakers, making down-stream tasks like speech-to-text, emotion analysis, or intent identification much more effective.

1. Background & Motivation Automatic Speech Recognition (ASR) has made significant strides in recent years, particularly with the rise of large-scale multilingual models like OpenAI’s Whisper, Google USM, and Meta’s MMS.