Speaker identi­fi­cation: Giving your media a voice of its own

Ever wish your audio and video content could tell you exactly who’s speaking, and when? Our DeepVA AI’s Speaker Identi­fi­cation model does just that, intel­li­gently distin­guishing between different voices and even recog­nizing specific speakers to bring clarity to your media assets.

identify speakers across your media assets

What does Speaker Identi­fi­cation do?

The Speaker Identi­fi­cation model analyses audio and video content to detect, distin­guish and optionally recognise different speakers. It segments recordings based on voice changes and assigns consistent speaker IDs across the timeline—even without knowing who the speakers are.

For voices without labels, the system automat­i­cally distin­guishes them, assigning a unique “Speaker 1,” “Speaker 2” 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 datasets—how 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 stake­holders in parlia­mentary proceedings or frequently appearing news anchors.

The benefits of choosing us

Automatic identi­fi­cation of speakers in audio and video

Automat­i­cally assign text to individual speakers in panel discus­sions, inter­views, or protocols—for more readable transcripts and subtitles.

Scalable across media archives, broad­casts, and live streams

Our Speaker Identi­fi­cation module analyzes hours of content efficiently and without human super­vision.

Adapt the AI to your needs

With the Deep Model Customizer, you can train individual speaker recog­nition models — perfect for identi­fying recurring individuals in your media,

Speaker Identi­fi­cation module is part of our Deep Media Analyzer appli­cation. Check it out now: 

Deep Media Analyzer

Gain insights from your visual data

What you’ll get

Want to know how our Speaker Identi­fi­cation model actually works its magic? Here’s a closer look at what it brings to the table, helping you dissect and organize your spoken content with ease.

Diarization (splitting content by speaker)

Our AI intel­li­gently separates audio based on different voices, giving you segmented content for each speaker.

Speaker labeling

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

Timestamped speaker segments

Get exact start and end times for each speaker’s turn, ensuring precise tracking and easy refer­encing.

Optional integration with transcription workflows

Connects effort­lessly with transcription tools to attribute spoken words to the correct speaker, enhancing accuracy.

Training of speaker-specific models

Beyond just distin­guishing voices, you can train the system to recognize and name specific individuals for advanced identi­fi­cation.

frequently asked questions

Have a question? We’ve got answers

Does the model recognize who is speaking, or just separate voices?

By default, the model distin­guishes between speakers without naming them. However, known speaker profiles can be trained for identi­fi­cation if desired.

Can it handle overlapping speech or noisy environ­ments?

The model performs best with clean audio and clear speaker turns. Overlapping speech may reduce accuracy but is being contin­u­ously improved.

Is it compatible with transcription tools?
Yes. Speaker segments are timestamped and can be directly aligned with transcripts or subtitles, enhancing speaker-attribution accuracy.
What kind of metadata is returned?
The model returns speaker segments with start and end timestamps, speaker IDs (e.g., Speaker 1, Speaker 2), and optional confi­dence scores for each.
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 accor­dance with GDPR regula­tions.

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 propri­etary. However, you have the option to train models using your data, and in that case, it will remain exclusive to your organi­zation.

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 instruc­tions or where legally required. For example, data may be trans­ferred or processed as needed to fulfill service require­ments, always in alignment with our agree­ments.

To learn more about how we process data and the safeguards in place, please refer to our Data Processing Agreement.

latest AI news

Subscribe to our newsletter

Don’t worry, we reserve our newsletter for important news, so we only send a few updates once in a while. No spam!