Make the most of conversational speech with state of the art speaker diarization

Make the most of conversational speech with state of the art speaker diarization

Make the most of conversational speech with state of the art speaker diarization

Backed by 10+ years of academic research, our technology detects, segments, counts, and labels speakers, making transcription and analysis faster and more efficient.


Access our beta program to discover our cutting edge speaker diarization models

STATE-OF-THE-ART

Discover the power
of speaker diarization

Our AI speaker diarization models accurately identify and separate speakers in audio recordings, providing valuable insights and improving productivity.

USE CASES

Discover how users leverage our AI model

Discover how users leverage our AI model

Explore the ways in which pyannote users incorporate our technologies into their tech stack to deliver top-tier products

OPTIMIZED BY DESIGN

Next generation of pretrained pipelines reaches
state-of-the-art performances

Next generation of pretrained pipelines reaches
state-of-the-art performances

Our optimized AI models accurately separates and identifies speakers in audio recordings, saving you time and effort.

x2 faster*

+ 20% accuracy*

*versus pyannote open source model

ENHANCED FEATURES

Maximize speaker diarization capabilities with our advanced features

Maximize speaker diarization capabilities with our advanced features

Speaker diarization

Partition multi-speaker conversations into separate speakers

Speaker identification

Track specific speakers across multiple conversations using voiceprints

Overlapping speech

Flag when multiple speakers talk over each other

Change point detection

Mark speaker change points

Voice activity detection

Spot when anyone is speaking

Speaker separation

Isolate speech of overlapping speakers

Confidence score

Pinpoint the exact areas where human attention is required

© 2024 pyannoteAI

© 2024 pyannoteAI

© 2024 pyannoteAI