Optimizing Emergency Call Handling: From Concept to Real-Time Solutions

📢 Join us for an insightful webinar on "Optimizing Emergency Call Handling: From Concept to Real-Time Solutions"!

We are excited to announce that Rim Amarat, currently completing their master s degree in AI, will share their expertise and experiences in this field. Over the past two years, Rim has been actively involved in a groundbreaking project at the LIA Avignon, focusing on developing a call processing assistant to enhance emergency call handling for firefighters.

In the first year of their project, Rim dedicated their efforts to conceptualizing and developing a proof of concept. They also played a key role in designing and launching a website to showcase and promote the project. Subsequently, Rim delved into testing Automatic Speech Recognition (ASR) on emergency calls, aiming to assess the performance of state-of-the-art ASR systems within the context of emergencies.

Looking ahead, Rim is embarking on a new project involving concept detection and intent recognition in transcriptions of complaint calls. This initiative represents a crucial step towards the development of a context-aware system capable of extracting valuable insights from automatic transcriptions of emergency calls.

The ultimate goal of these endeavors is to ensure that these systems operate in real or pseudo-real time during emergency calls, underscoring the importance of real-time ASR and text processing technologies.

Don t miss this opportunity to gain valuable insights into the advancements and challenges in emergency call handling. Register now via the Google Form to secure your spot!

Details:

🗓 Date: 26 April 2024

🕚 Time: 11:00 AM Afghanistan Time / 8:30 AM CET Time

🔗 Registration Link: click here.

We look forward to your participation! 🚀