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Blast exposure in the military and its effects on sensory and cognitive auditory processing
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Switching streams across ears to evaluate informational masking of speech-on-speech
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In: Ear Hear (2020)
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Large-scale replication study reveals a limit on probabilistic prediction in language comprehension
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Effects of talker continuity and speech rate on auditory working memory
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Impoverished auditory cues limit engagement of brain networks controlling spatial selective attention
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In: Neuroimage (2019)
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Influence of talker discontinuity on cortical dynamics of auditory spatial attention
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Effects of dynamic range compression on spatial selective auditory attention in normal-hearing listeners
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Evaluating Source Separation Algorithms With Reverberant Speech
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Abstract:
This paper examines the performance of several source separation systems on a speech separation task for which human intelligibility has previously been measured. For anechoic mixtures, automatic speech recognition (ASR) performance on the separated signals is quite similar to human performance. In reverberation, however, while signal separation has some benefit for ASR, the results are still far below those of human listeners facing the same task. Performing this same experiment with a number of oracle masks created with a priori knowledge of the separated sources motivates a new objective measure of separation performance, the Direct-path, Early echo, and Reverberation, of the Target and Masker (DERTM), which is closely related to the ASR results. This measure indicates that while the non-oracle algorithms successfully reject the direct-path signal from the masking source, they reject less of its reverberation, explaining the disappointing ASR performance.
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Keyword:
Electrical engineering
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URL: https://doi.org/10.7916/D86M3HBX
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Task-modulated “what” and “where” pathways in human auditory cortex
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The Perceptual Impact of Simulating Sources Within Reach of a Listener
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In: DTIC AND NTIS (2004)
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