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In this project, we analyze various kinds of sound signals including human speech, animal vocalizations and even noise to understand the human auditory perception using time-frequency analysis and neural responses (mostly EEG). Currently, we are trying to develop a python-based time-frequency analysis toolbox and design an auditory psychophysics experiment to test whether or not stable time-frequency structures are important for signal detection and speech perception.
In this project, we analyze various kinds of sound signals including human speech, animal vocalizations and even noise to understand the human auditory perception using time-frequency analysis and neural responses (mostly EEG). Currently, we are trying to develop a python-based time-frequency analysis toolbox and design an auditory psychophysics experiment to test whether or not stable time-frequency structures are important for signal detection and speech perception.
Contour representation of chirp sound embedded in white noise
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