Scientists explain why we immediately hear the right voice in a noisy crowd

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MIT scientists study how the brain highlights voice in noisy environments
Steph Stevens
22:00, 16.03.2026

Many people have probably noticed: even in a noisy room or at a party, it is easy to hear the voice of the interlocutor. Scientists from the Massachusetts Institute of Technology have explained how the brain copes with this task. It turned out that it amplifies the signals of the desired voice and suppresses other sounds.



The findings are published in the journal Nature Human Behaviour.

This phenomenon has long been known in science as the "cocktail party effect". It allows a person to focus on a single conversation, even if dozens of people are talking around them.

To understand how this mechanism works, researchers created a computer model of the human auditory system.

Details

The model showed that the brain enhances the activity of neurons that respond to the characteristic features of the desired voice - for example, its pitch, timbre and other sound attributes.

When a person concentrates on a particular voice, the neurons associated with it begin to work more actively. This makes the desired voice more prominent, and other conversations fade into the background.

Scientists have also found that the brain actively uses the spatial position of sounds.

People find it much easier to focus on a voice if it sounds from a different direction than other noise sources. When multiple voices come from the same place and have similar pitch, it becomes much harder for the brain to distinguish between them.

Why it matters

The results of the study may help improve hearing aid and cochlear implant technology. This will allow people with hearing loss to better navigate noisy environments.

In addition, such knowledge could help create more accurate speech recognition systems that can distinguish the right voice from many others.

Background

The study was conducted by scientists at the Massachusetts Institute of Technology (MIT). They used a computer model of the auditory system that replicates the behaviour of the human brain when perceiving sounds.

Source

Ian M. Griffith et al, Nature Human Behaviour (2026)

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