Real-time synthesis of imagined speech processes from minimally invasive recordings of neural activity

Author:

Angrick MiguelORCID,Ottenhoff Maarten C.ORCID,Diener Lorenz,Ivucic Darius,Ivucic Gabriel,Goulis Sophocles,Saal Jeremy,Colon Albert J.,Wagner Louis,Krusienski Dean J.,Kubben Pieter L.,Schultz Tanja,Herff ChristianORCID

Abstract

AbstractSpeech neuroprosthetics aim to provide a natural communication channel to individuals who are unable to speak due to physical or neurological impairments. Real-time synthesis of acoustic speech directly from measured neural activity could enable natural conversations and notably improve quality of life, particularly for individuals who have severely limited means of communication. Recent advances in decoding approaches have led to high quality reconstructions of acoustic speech from invasively measured neural activity. However, most prior research utilizes data collected during open-loop experiments of articulated speech, which might not directly translate to imagined speech processes. Here, we present an approach that synthesizes audible speech in real-time for both imagined and whispered speech conditions. Using a participant implanted with stereotactic depth electrodes, we were able to reliably generate audible speech in real-time. The decoding models rely predominately on frontal activity suggesting that speech processes have similar representations when vocalized, whispered, or imagined. While reconstructed audio is not yet intelligible, our real-time synthesis approach represents an essential step towards investigating how patients will learn to operate a closed-loop speech neuroprosthesis based on imagined speech.

Funder

Bundesministerium für Bildung und Forschung

National Science Foundation

Nederlandse Organisatie voor Wetenschappelijk Onderzoek

Publisher

Springer Science and Business Media LLC

Subject

General Agricultural and Biological Sciences,General Biochemistry, Genetics and Molecular Biology,Medicine (miscellaneous)

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