What is the difference between speaker recognition and speaker verification?

Speaker recognition encompasses two distinct processes: speaker verification and speaker identification, which address different challenges in voice-based identity systems. Speaker verification is a one-to-one matching process that confirms whether an individual's voice matches a claimed identity, often used in voice biometrics for authentication tasks like banking or access control. In contrast, speaker identification involves one-to-many matching, determining which known participant is speaking in multi-person conversations, essential for meeting transcripts, call center analytics, and voice agents. AssemblyAI focuses on speaker identification by using a per-transcript approach without requiring pre-enrollment, allowing developers to map diarized audio segments to specific names or roles provided in API requests. The traditional systems require capturing voice samples to create and store voice templates for repeated identification, while AssemblyAI's method uses diarization and context-based mapping, offering flexibility in real-time and asynchronous scenarios. Understanding the differences between these processes is crucial for selecting the appropriate system based on use cases, whether it involves confirming identities or labeling speakers in conversations.

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