Linguistic Cues for Heuristic Determination of Patterns of Speech in Noise

This project aims to investigate the benefits of using linguistic cues for extracting speech-of-interest from competing background noise. Given an algorithm which detects formants of a speaker of interest within an audio signal which includes background noise, and given that the limits of such an approach are reached when formants of the speaker of interest […]

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