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Speaker

Manya Sahakyan

Development Engineer & Function Owner (Speech Recognition, Dialog Manager), Audi AG

Dipl.-Ling. (Computational Linguistics)

- Automatic Speech Recognition (ASR) and Natural Language Understanding (NLU) solutions for automotive/embedded, mobile/telecom industries, voice portals and voice commerce with focus on NLU/NLP technologies (especially based on Nuance Cloud/Dragon & Embedded/VoCon ASR), Deep Neuronal Networks (DNN) based ASR Engines, Machine Learning Technologies for ASR & Dialog Manager
- speech technology consulting and solutions for in-car SDS, voice-enabling Web-based content
- Statistic Language Modeling (SLM), SRGS Grammar design & development
- Navigation Voice-enabled databases (HERE - former NavTeq)
- phonetic dictionaries development & Graphem-to-Phoneme (G2P) tooling
- tool development in Java, ECMA/JavaScript, C/C++, Perl, Python

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Company

Audi AG

http://www.audi.com
„Vorsprung durch Technik“ – with pioneering courage and team spirit, Audi employees breath new life into those words each and every day. Applying critical thought to the status quo, they bring unique and innovative ideas to fruition in a work atmosphere of creative freedom where the seemingly distant future is already taking shape. That’s why such upcoming fields as piloted driving, connectivity or digitalization of production are already part of Audi’s core areas of expertise today. And this applies not just to our sites in Ingolstadt and Neckarsulm in Germany but also to our locations in China, Belgium, Mexico and Hungary. As an internationally expanding organization, we offer a wide range of jobs and opportunities for professional development around the globe. Those who want to be part of the Audi success story will find attractive career and development opportunities for students, graduates, young professionals and professionals.
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Car.HMI Europe 2026 is part of the Smart Mobility Hub Event Series. You can find more events here.
Date
June 22 – 23, 2026
Location
Hotel Titanic Chaussee
Chausseestraße 30
10115 Berlin
Phone
+49 (0)30 52 10 70 3 0
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