Geometric Signatures of Speech Recognition: Insights from Deep Neural Networks to the Brain
Humans possess the remarkable ability to extract discrete words and construct meaningful sentences from continuous streams of acoustic signals. While brain regions such as the superior temporal gyrus (STG) are known to be involved in speech recognition, how populations of neurons coordinate to enable this process remains unclear. Similar to the brain, state-of-the-art models like Whisper [1] excel at speech processing by transforming acoustic inputs into high-dimensional representations. Such models can thus be valuable tools for studying the neural mechanisms underlying speech perception. In