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14h ago

Brain-Controlled Hearing Tech Amplifies the Voice You Choose

The findings suggest a path to hearing aids that respond to a listener’s focus.

By monitoring the synchronization of brain waves with the rhythms of specific voices, this real-time system acts as a neural extension that amplifies a listener's intended conversation while silencing competing background noise. Credit: Neuroscience News
Participants with intracranial electrodes listened to two competing, spatially separated conversations. Their neural signals were recorded and fed into a real-time processing system. The system uses a linear regression model to reconstruct the temporal envelope of the attended speech from low-frequency (LF) and high-gamma (HF) neural features. The reconstructed envelope is then compared to the envelopes of the two conversations to determine the listener’s focus, which in turn drives the selective amplification of the attended speaker. Image credit: Choudhari et al., doi: 10.1038/s41593-026-02281-5.

Overview

  • Columbia University researchers reported Monday in Nature Neuroscience that a real-time system decoded which speaker a person attended to and made that voice easier to hear.
  • Epilepsy patients with existing brain electrodes listened to two overlapping talks as machine-learning software read their brain activity and turned up the chosen voice.
  • The approach improved speech intelligibility, reduced listening effort, and was favored by volunteers over unassisted audio.
  • The team demonstrated fast, stable performance in lab tests across clinical sites at Hofstra Northwell, the Feinstein Institutes, NYU, and UCSF.
  • The prototype depends on implanted sensors, and the authors say wearable, minimally invasive versions must still prove they can work in messy, real-world noise for people who struggle most in social settings.