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Algorithm to suppress scanner noise in recorded speech during functional magnetic resonance imaging

2012/07/24 by Satrajit S. Ghosh, Satrajit Ghosh, Ghosh, Satrajit S.
Computer Science · Engineering · Neuroscience · #Advanced Adaptive Filtering Techniques #FOS: Computer and information sciences #Hearing Loss and Rehabilitation #Sound (cs.SD) #Speech and Audio Processing #cs.SD

paper · pdf · doi:10.48550/arxiv.1207.5827

arxiv created 2012/07/24 · openalex publication_date 2012/07/24 · arxiv updated 2012/07/26 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

The high-intensity, repetitive noise associated with functional magnetic resonance imaging hinders on-line monitoring of subjects' speech and/or recording speech signals suitable for off-line analysis. The proposed algorithm enhances the speech signal by suppressing the scanner noise in the signal recorded by a single-channel microphone. Significant increases in signal-to-noise ratio are achieved using an adaptive filter that combines time and frequency domain elements. In addition to providing a recording suitable for speech analysis, such a real-time system provides an alternative means (to, e.g., the "panic ball") for communication between the patient and the operator during image acquisition.

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