Alexander Blatt

Alexander Blatt is a researcher at Saarland University, specializing in speech recognition and multi-modal learning within aviation contexts. His work integrates natural language processing with air traffic control systems, focusing on privacy preservation and error detection. He is based in Building C7.1, Room 0.12, Saarbrücken.

• Email: ablatt@lsv.uni-saarland.de
• Contact: +49 681 302 58 XXX

Research Focus

Blatt’s research bridges speech recognition, privacy, and air traffic control, with emphasis on:

• Robust speech processing in noisy aviation environments
• Contextual information boosting in ASR systems
• Multi-modal data integration for call-sign recognition
• Stress detection in anonymized speech data
• Ethical challenges in air traffic communication recording

Publications Trends

His recent work (2020-2023) shows a consistent focus on improving air traffic control communication systems through:

• Deep learning techniques (e.g., Wav2vec 2.0 applications)
• Hybrid approaches combining acoustic and surveillance data
• Privacy-preserving methods for sensitive aviation speech data
• Error detection frameworks for out-of-airspace communications