My research follows two related branches, computational models and perception of speech and hearing. While some of my research targets basic neuroscience and helps improving our understanding of the human brain using behavioural methods and imaging, other parts of my research are more applied and help diagnosing and compensating for a hearing loss, design quiet environments, better speech understanding and improving speech machine learning.

My research activities span:

Computational and Technology:

• Bayesian active learning
• Automatic speech recognition and text-to-speech
• Loudness modelling
• Signal processing and forecasting
• Machine learning applied to speech and hearing

Perception:

• Perception in background noise
• Loudness
• Psychoacoustics
• Human phoneme recognition
• Irrelevant Speech Effect: Features of speech