Brain-controlled augmented hearing for spatially moving conversations in multi-talker environments

Author:

Choudhari VishalORCID,Han CongORCID,Bickel StephanORCID,Mehta Ashesh D.ORCID,Schevon CatherineORCID,McKhann Guy M.ORCID,Mesgarani NimaORCID

Abstract

ABSTRACTFocusing on a specific conversation amidst multiple interfering talkers presents a significant challenge, especially for the hearing-impaired. Brain-controlled assistive hearing devices aim to alleviate this problem by separating complex auditory scenes into distinct speech streams and enhancing the attended speech based on the listener’s neural signals using auditory attention decoding (AAD). Departing from conventional AAD studies that relied on oversimplified scenarios with stationary talkers, we present a realistic AAD task that mirrors the dynamic nature of acoustic settings. This task involves focusing on one of two concurrent conversations, with multiple talkers taking turns and moving continuously in space with background noise. Invasive electroencephalography (iEEG) data were collected from three neurosurgical patients as they focused on one of the two moving conversations. We propose an enhanced brain-controlled assistive hearing system that combines AAD and a binaural speaker-independent speech separation model. The separation model unmixes talkers while preserving their spatial location and provides talker trajectories to the neural decoder to improve auditory attention decoding accuracy. Our subjective and objective evaluations show that the proposed system enhances speech intelligibility and facilitates conversation tracking while maintaining spatial cues and voice quality in challenging acoustic environments. This research demonstrates the potential of our approach in real-world scenarios and marks a significant step towards developing assistive hearing technologies that adapt to the intricate dynamics of everyday auditory experiences.TAKEAWAYS-Brain-controlled hearing device for scenarios with moving conversations in multi-talker settings, closely mimicking real-world listening environments-Developed a binaural speech separation model that separates speech of moving talkers while retaining their spatial locations, enhancing auditory perception and auditory attention decoding-Proposed system enhances speech intelligibility and reduces listening effort in realistic acoustic scenes

Publisher

Cold Spring Harbor Laboratory

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