Speaker Diarization
term_id: speaker_diarization
Category: basic_concepts
Definition
Speaker Diarization is the task of partitioning an audio stream into homogeneous segments according to the identity of the speaker. It combines speaker change detection with speaker clustering to label segments with unique speaker IDs. This technology is essential for making multi-party conversations understandable in transcripts, often referred to as the ‘who said what’ problem.
Summary
The process of determining ‘who spoke when’ in an audio recording.
Key Concepts
- Speaker clustering
- Identity labeling
- Who-said-what
- Audio segmentation
Use Cases
- Automatic meeting minutes generation
- Interview transcription
- Broadcast media analysis