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WiDS Upper Bavaria

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πŸ“’ 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, 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!

πŸ—“οΈ Date: 26 April 2024

πŸ•š Time: 8:30 AM Central Europe Time

Language: English

We look forward to your participation! πŸš€

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