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The Speech Transmission Index (STI) is a physical metric that is well correlated with the intelligibility of speech degraded by additive noise and reverberation. The traditional STI uses modulated noise as a probe signal and is valid for assessing degradations that result from linear operations on the speech signal. Researchers have attempted to extend the(More)
Three adaptive feedback-reduction algorithms were implemented in a laboratory-based digital hearing aid system and evaluated with dynamic feedback paths and hearing-impaired subjects. The evaluation included measurements of maximum stable gain and subjective quality ratings. The continuously adapting CNN algorithm (Closed-loop processing with No probe(More)
Several array-processing algorithms were implemented and evaluated with experienced hearing-aid users. The array consisted of four directional microphones mounted broadside on a headband worn on the top of the listener's head. The algorithms included two adaptive array-processing algorithms, one fixed array-processing algorithm, and a reference condition(More)
The MIT Faculty has made this article openly available. Please share how this access benefits you. Your story matters. This paper describes a system for determining intervals of " high " and " low " signal-to-noise ratios when the desired signal and interfering noise arise from distinct spatial regions. The correlation coefficient between two microphone(More)
and the Boston area teaching hospitals in a unique collaboration that integrates science, medicine and engineering to solve problems in human health. HST's administrative home is located at the Whitaker College of Health Sciences and Technology at MIT. HST also maintains an office at the HMS Quadrangle campus in Boston, as one of the five medical societies(More)
Traditional two-microphone array processors applied to hearing aids require binaural inputs and produce a monaural output with improved target-to-jammer ratio TJR, but no binaural cues. Previous work with normal-hearing listeners has demonstrated the potential to obtain a tradeoo between localization and in-telligibility with a lowpassshighpass system that(More)
Functional magnetic resonance imaging (fMRI) represents a new and important topic in biomedical engineering. Statistical analysis of fMRI data is typically performed using free or commercial software packages that do not facilitate learning about the underlying assumptions and analysis methods; these shortcomings can lead to misinterpretation of the fMRI(More)
Due to increased demand for interactive learning opportunities for engineering students, an interactive spectral analysis learning module was developed for the course Biomedical Signal and Image Processing (HST582J/6.555J/16.456J). The design of this module is based on the Star Legacy model, a pedagogical framework that promotes the creation of guided(More)