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Research Interests

• Deep Learning for Horizontal Dialect Classification
  How can deep learning techniques be optimized to enhance the classification of German dialects from audio recordings? Key aspects include leveraging insights from misclassified segments and optimizing data augmentation strategies for dialect differentiation.
• Phonetic Features in Horizontal Dialect Classification
  Which phonetic features are crucial for distinguishing between dialects, and how can they be effectively integrated with deep learning models? This includes evaluating the contribution of vowels and extracting relevant phonetic features.
• Combined Approaches for Enhanced Vertical Dialect Classification
  How can insights from both deep learning and phonetic feature analysis be used to develop a more effective horizontal dialect classification model? This involves analyzing speaking behavior to understand code-switching and the impact of social and contextual factors on dialect variation.