Speaker Diarization
Discover Speaker Diarization, an advanced solution for audio segmentation and speaker identification. Let's explore what this AI model can do for you!
Platform: Replicate
Speaker IdentificationAudio SegmentationSpeech Analysis
15 runs
T4
License Check Required🚀Function Overview
Segments audio inputs by speaker and identifies when each speaker is active.
Key Features
- Diarizes audio to distinguish between speakers
- Allows control over speaker count min/max thresholds
- Outputs segmented speaker timelines in URI format
Use Cases
- •Meeting transcription analysis
- •Podcast speaker segmentation
- •Call center conversation analytics
⚙️Input Parameters
audio
stringAudio file
num_speakers
integerNumber of speakers (if known)
min_speakers
integerMinimum number of speakers
max_speakers
integerMaximum number of speakers
Quick Actions
Technical Specifications
- Hardware Type
- T4
- Run Count
- 15
- Commercial Use
- Unknown/Restricted
- Platform
- Replicate
Related Keywords
Audio SegmentationSpeaker IdentificationSpeech AnalysisMeeting transcriptionPodcast speaker segmentationCall center conversation analyticsAudio analysis
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