How Outdoo AI Identifies Speakers
Outdoo AI analyzes calls to determine who spoke and when. This information is used to calculate stats and is displayed on the call page, helping you navigate and focus on relevant parts of the call.
Dividing Calls into Speaker Segments
The first step in speaker identification is segmenting the call into parts, each associated with a single speaker. Outdoo AI uses different approaches depending on the type of call.
1. Meeting Calls
Outdoo AI examines the participant list during the call to estimate who is present and when they speak. Because conferencing systems often introduce delays in speaker detection, Outdoo AI applies a proprietary algorithm to refine speaker identification and assign the right internal speakers.
2. Telephony Calls
Outdoo AI uses diarization to separate the single channel into multiple tracks based on voice differences. Machine learning then assigns tracks to the appropriate speaker.
Participant Identification Methods
1. Conference Calls
Participants joining via computer often identify themselves with their full name or a nickname. Those joining via dial-in may display a partial or full phone number.
Outdoo AI matches participant names or phone numbers to the meeting invite and learns nicknames and phone numbers over time for better accuracy.
If several participants use one device, they appear as a single speaker track, identified by the person logged into the web conference or dialed in.
2. Dialer Calls
Audio is merged into a single channel. Outdoo AI uses diarization to separate speakers, then uses machine learning to assign tracks to the right speakers.
Key Notes on Speaker Identification
- Outdoo AI doesn't limit the number of identified speakers, but identification depends on input from the conferencing or telephony system.
- Participants who are silent or unidentified are excluded from detailed speaker tracks.
Hope this article was helpful. For any queries, please write to support@outdoo.ai