The way that speech processing differs from the processing of other sounds has long been a major open question in human neuroscience. Researchers have endeavored to answer this by investigating brain representations for natural spoken words using machine learning models and comparing them with representations of environmental sounds that refer to the same concepts -- such as the word cat and a cat meowing.