Gladia’s Post

View organization page for Gladia, graphic

3,183 followers

Online meeting recordings are one of the key sources of business knowledge today. Just think of all the key decisions and action items exchanged daily during our work calls and webinars! However, given the large amount of audio data generated in meetings, getting the full value out of these recordings can be tricky. For instance, a user may want to review tasks set by their project manager during the last team call or collect a quote from a particular speaker in a seminar. Most meeting platforms give limited solutions when it comes to this, leaving speakers with lengthy transcripts to review. Speaker identification is designed specifically for these use cases. The feature relies on voice biometrics to distinguish and identify speakers in audio streams, providing organizations with more detailed insights into meetings. This tutorial will help you build a speaker identification system for video online meeting platforms and note-taking apps, using speaker embeddings and diarization. As a result, you'll be able to implement better search, speaker-based summaries, and more features for your users. Link to tutorial below! #asr #transcription #speakerdiarization #embeddings #ai

  • No alternative text description for this image

To view or add a comment, sign in

Explore topics