Monty Escabi
Professor/Electrical and Computer Engr
Storrs Mansfield
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Scholarly Contributions
115 Scholarly Contributions
Categorical perception and coding of chimeric fire and water sounds driven by sound and neural summary statistics
2022
Research Type: Poster/Presentation
The role of statistical sound structure for natural sound recognition in noise
2022
Research Type: Poster/Presentation
Encoding and perceiving the texture of sounds: neural codes for recognizing and categorizing auditory texture and for listening in noise
2022
Research Type: Poster/Presentation
Two stages of bandwidth scaling drives efficient neural coding of natural sounds
2023
Research Type: Journal Article
Modeling and predicting human speech recognition in natural environmental noise
2023
Research Type: Poster/Presentation
Mid-level auditory computations predict human speech recognition in natural environmental noise
2023
Research Type: Poster/Presentation
Modeling and predicting human perceptual sensitivity of speech recognition in natural environmental noise
2023
Research Type: Poster/Presentation
The influence of spectrum and modulation cues on the neural representation of vocalizations in natural background sounds
2023
Research Type: Poster/Presentation
From brains to holistic models of hearing: the role of auditory midbrain processing for real-world audition
2024
Research Type: Poster/Presentation
Poster Blitz: Mid-level auditory computations predict human speech recognition in natural environmental noise.
2024
Research Type: Poster/Presentation
The contribution of spectrum and modulation statistics towards speech recognition in natural environmental noise
2024
Research Type: Poster/Presentation
Predicting auditory midbrain responses to natural sounds with interpretable Gabor integrate and fire receptive field models
2024
Research Type: Poster/Presentation
Mid-level auditory computations predict human speech recognition in natural environmental noise.
2024
Research Type: Poster/Presentation
The Influence of Spectrum and Modulation Cues on the Neural Representation of Vocalizations in Natural Background Sounds
2024
Research Type: Poster/Presentation