SAN FRANCISCO / LONDON (IT BOLTWISE) – New research shows how the human brain converts continuous streams of sound into individual words. This discovery could revolutionize the understanding of language processing and has far-reaching implications for the development of AI-powered language systems.
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The human brain’s ability to divide continuous streams of sound into discrete words is a fascinating example of neural processing. Two new studies published in renowned specialist journals Neuron and Natureshed light on the mechanisms behind this ability. At the center of this research is the superior temporal lobe, which acts as a critical center for the interpretation of spoken language.
The studies show that the brain responds not only to the intensity of sounds, but also to rhythmic cycles that help recognize word boundaries. These cycles allow the continuous speech wave to be broken down into understandable units. Interestingly, research shows that the brain sends a type of “reset” signal at the end of a word, which serves as a biological marker for the end of a word.
The researchers used electrocorticography to record brain activity with high precision. This method, which places electrodes directly on the surface of the brain, provides much higher temporal and spatial resolution than traditional non-invasive scanners. Participants were patients undergoing epilepsy monitoring who voluntarily listened to various speech samples while their neural firing patterns were recorded.
Another fascinating aspect of the studies is the comparison with artificial intelligence models. The researchers examined the deep learning model HuBERT, which uses self-supervised learning to recognize language patterns. Remarkably, the model developed a strategy very similar to that of the human brain by tracking word boundaries to understand the audio stream.
The second study examined whether this segmentation mechanism works for all languages or only for those that the listener understands. The results showed that although the brain recognizes the basic acoustic elements of an unknown language, the neural markers for word boundaries disappear when the language is unknown. This explains why foreign languages often seem like a continuous noise.
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