Speaker identiÂfiÂcation: Giving your media a voice of its own
Ever wish your audio and video content could tell you exactly whoâs speaking, and when? Our DeepVA AIâs Speaker IdentiÂfiÂcation model does just that, intelÂliÂgently distinÂguishing between different voices and even recogÂnizing specific speakers to bring clarity to your media assets.
identify speakers across your media assets
What does Speaker IdentiÂfiÂcation do?
The Speaker IdentiÂfiÂcation model analyses audio and video content to detect, distinÂguish and optionally recognise different speakers. It segments recordings based on voice changes and assigns consistent speaker IDs across the timelineâeven without knowing who the speakers are.
For voices without labels, the system automatÂiÂcally distinÂguishes them, assigning a unique âSpeaker 1,â âSpeaker 2â ID throughout the content. This makes it easy to track different individuals across media files and add names later if needed. Furthermore, you can also build your own speaker datasetsâhow cool is that?
In addition to separating unknown voices, you can train the AI model further. With our Deep Model Customizer, you can easily teach the system to recognize specific people important to you, like key stakeÂholders in parliaÂmentary proceedings or frequently appearing news anchors.
The benefits of choosing us
Automatic identiÂfiÂcation of speakers in audio and video
AutomatÂiÂcally assign text to individual speakers in panel discusÂsions, interÂviews, or protocolsâfor more readable transcripts and subtitles.
Scalable across media archives, broadÂcasts, and live streams
Our Speaker IdentiÂfiÂcation module analyzes hours of content efficiently and without human superÂvision.
Adapt the AI to your needs
With the Deep Model Customizer, you can train individual speaker recogÂnition models â perfect for identiÂfying recurring individuals in your media,
Speaker IdentiÂfiÂcation module is part of our Deep Media Analyzer appliÂcation. Check it out now:
What youâll get

Diarization (splitting content by speaker)
Our AI intelÂliÂgently separates audio based on different voices, giving you segmented content for each speaker.

Speaker labeling
The system assigns consistent IDs like âSpeaker 1,â âSpeaker 2,â across your timeline, even if the speakers are initially unknown.

Timestamped speaker segments
Get exact start and end times for each speakerâs turn, ensuring precise tracking and easy referÂencing.

Optional integration with transcription workflows
Connects effortÂlessly with transcription tools to attribute spoken words to the correct speaker, enhancing accuracy.

Training of speaker-specific models
Beyond just distinÂguishing voices, you can train the system to recognize and name specific individuals for advanced identiÂfiÂcation.
Practical AppliÂcaÂtions
Putting speaker identiÂfiÂcation to work
frequently asked questions
Have a question? Weâve got answers
Does the model recognize who is speaking, or just separate voices?
By default, the model distinÂguishes between speakers without naming them. However, known speaker profiles can be trained for identiÂfiÂcation if desired.
Can it handle overlapping speech or noisy environÂments?
The model performs best with clean audio and clear speaker turns. Overlapping speech may reduce accuracy but is being continÂuÂously improved.
Is it compatible with transcription tools?
What kind of metadata is returned?
Is your service GDPR compliant?
Yes, DeepVA is fully GDPR compliant. We take data protection and privacy seriously and ensure that all personal data is processed in accorÂdance with GDPR regulaÂtions.
How is my data handled? Does the AI learn from my data?
You have full control over your data on our AI platform, ensuring it remains secure and compliant. By default, we do not use your data to train our models, keeping it propriÂetary. However, you have the option to train models using your data, and in that case, it will remain exclusive to your organiÂzation.
What type of data do you store?
By default, we do not process your data beyond what is required to provide our services. If additional processing is necessary, it will only occur as outlined in your instrucÂtions or where legally required. For example, data may be transÂferred or processed as needed to fulfill service requireÂments, always in alignment with our agreeÂments.
To learn more about how we process data and the safeguards in place, please refer to our Data Processing Agreement.