Mission-Critical AI Research

WHAT IF YOUR DISPATCH CONSOLE COULD MONITOR DISTRESS LEVELS

IN REAL TIME?

Over the last year, InterTalk’s research team has been advancing AI-assisted technologies for mission-critical communications, including offline transcription and emotion-aware operational monitoring for high-stress communication environments.

Designed for public safety environments, these capabilities are built to operate entirely offline, directly within customer-controlled infrastructure.

CRITICAL COMMUNICATIONS DESERVE MORE THAN A TRANSCRIPT

When a dispatcher takes a call, they hear urgency, fear, confusion, escalation, and calm. Every day, dispatchers make rapid operational decisions based not only on spoken content, but also on vocal behavior, communication patterns, and operational experience.

THAT LED US TO A SIMPLE QUESTION:

What if the console could help visualize some of those communication dynamics in real time through AI-augmented operational awareness, providing operators and supervisors with additional insight during high-pressure situations?

That question continues to drive InterTalk’s ongoing AI research efforts in areas such as offline transcription, emotional escalation monitoring, deepfake resilience, and operational communication analysis, in collaboration with Dalhousie University.

FOUR PILLARS. ONE COHERENT VISION.

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Modular Audio Transcription Framework (MATF)

Before you can understand a conversation, you have to reliably hear it. MATF is InterTalk’s offline-first audio transcription framework developed for mission-critical communication environments. It transforms raw audio into structured, timestamped transcripts without relying on cloud infrastructure.

[Foundation Layer]

Audio Deepfake Detection

As AI-generated audio becomes increasingly realistic, mission-critical communication systems may eventually face new challenges related to audio authenticity and trust. InterTalk is currently exploring this area as part of a future resilience direction for mission-critical communication environments.

[Future Resilience]

Valence Arousal Dominance & Speech Emotion Recognition (VAD / SER)

Stress and emotional escalation can influence vocal behavior in measurable ways. We explore how continuous VAD analysis may help monitor operational distress levels and escalation in real time, providing situational awareness for supervisors, training analysis, and dispatcher wellness initiatives.

[Situational Awareness]

RFID & Black Box Replay

After critical incidents, understanding the sequence of events is essential. By combining RFID location traces with recorded communications, our research explores synchronized event reconstruction and timeline replay concepts that may support incident review and operational analysis.

[Incident Review & Replay]

BUILT FOR AGENCIES WHERE RELIABILITY MATTERS MOST

Dispatch consoles sit at the intersection of life, law, and logistics. A missed cue, a misheard word, or a manipulated communication can have serious operational consequences. That’s not a reason to be timid about AI, it’s a reason to be thoughtful, rigorous, and honest about what it can and can’t do. InterTalk’s approach to AI research starts from that premise.

 

“Our goal is not to replace human judgment. It is to provide dispatchers with better information so they can make critical decisions with greater confidence.”

– Dr. Salma Ait Fares, Technical Research Chair, InterTalk

 

Unlike solutions that depend on cloud connectivity and third-party AI vendors, our research focuses on offline-capable and on-premises deployment approaches designed for the operational realities of critical communications, including strict data governance, operational control, and limited-connectivity environments.

WHETHER YOU’RE AN AGENCY, RESEARCH PARTNER, OR FUNDING ORGANIZATION, THERE’S A PLACE TO COLLABORATE

For Dispatch Operations

If you operate a PSAP, communications centre, or critical operations environment, our research explores how AI-assisted technologies may support operational awareness, offline transcription, distress monitoring, and future communication integrity workflows.

  • Learn about current research directions and operational concepts
  • Explore prototype visualization and monitoring ideas
  • Participate in future pilot evaluation discussions
  • Provide operational feedback to help guide future development

Contact our Research Team →

For Research Partners, Funding Organizations & Strategic Collaborators

InterTalk’s AI research efforts combine mission-critical communication expertise with academic collaboration and applied AI research focused on operationally deployable, offline-capable systems.

  • Learn about ongoing AI research initiatives
  • Explore collaborative research opportunities
  • Discuss future funding and pilot initiatives
  • Review research publications and technical presentations

Request Additional Information →

RESEARCH GUIDED BY REAL OPERATIONAL EXPERIENCE

Our AI survey gathers real-world perspectives from dispatch professionals on operational challenges, pain points, and opportunities observed in day-to-day workflows. The feedback collected helps guide our ongoing research priorities and future development directions.

TRAINING THE NEXT GENERATION OF AI RESEARCHERS THROUGH APPLIED MISSION-CRITICAL COMMUNICATION RESEARCH.

InterTalk’s collaboration with Dalhousie University involves graduate students and research trainees contributing to applied AI research initiatives focused on operationally relevant mission-critical communication challenges. For funding organizations and research partners, this collaboration supports the development of long-term research capacity, academic partnership opportunities, and future Canadian innovation in AI-assisted critical communication systems.

Ready to shape how emotion-aware AI looks in your dispatch centre?

Whether you’re exploring the technology, evaluating a partnership, or want to shape what comes next, we’d love to hear from you. Tell us a bit about your situation, and we’ll take it from there.

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