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Lombard Effect for Bilingual Speakers in Cantonese and English: importance of spectro-temporal features ...
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Speech Audiometry at Home: Automated Listening Tests via Smart Speakers With Normal-Hearing and Hearing-Impaired Listeners
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In: Trends Hear (2020)
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Modeling Binaural Unmasking of Speech Using a Blind Binaural Processing Stage
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In: Trends Hear (2020)
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Abstract:
The equalization cancellation model is often used to predict the binaural masking level difference. Previously its application to speech in noise has required separate knowledge about the speech and noise signals to maximize the signal-to-noise ratio (SNR). Here, a novel, blind equalization cancellation model is introduced that can use the mixed signals. This approach does not require any assumptions about particular sound source directions. It uses different strategies for positive and negative SNRs, with the switching between the two steered by a blind decision stage utilizing modulation cues. The output of the model is a single-channel signal with enhanced SNR, which we analyzed using the speech intelligibility index to compare speech intelligibility predictions. In a first experiment, the model was tested on experimental data obtained in a scenario with spatially separated target and masker signals. Predicted speech recognition thresholds were in good agreement with measured speech recognition thresholds with a root mean square error less than 1 dB. A second experiment investigated signals at positive SNRs, which was achieved using time compressed and low-pass filtered speech. The results demonstrated that binaural unmasking of speech occurs at positive SNRs and that the modulation-based switching strategy can predict the experimental results.
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Original Article
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URL: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7734536/ http://www.ncbi.nlm.nih.gov/pubmed/33305690 https://doi.org/10.1177/2331216520975630
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Age-Related Differences in Lexical Access Relate to Speech Recognition in Noise
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Are Experienced Hearing Aid Users Faster at Grasping the Meaning of a Sentence Than Inexperienced Users? An Eye-Tracking Study
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Age-related differences in lexical access relate to speech recognition in noise
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Are experienced hearing aid ssers faster at grasping the meaning of a sentence than inexperienced ssers? An eye-tracking study
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International Collegium of Rehabilitative Audiology (ICRA) recommendations for the construction of multilingual speech tests ...
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How Hearing Impairment Affects Sentence Comprehension: Using Eye Fixations to Investigate the Duration of Speech Processing
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Influence of vocabulary knowledge & lexical access times on speech intelligibility in different acoustic conditions
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An Eye-Tracking Paradigm for Analyzing the Processing Time of Sentences with Different Linguistic Complexities
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International kompatible und multilingual einsetzbare Sprachtests im Störschall ...
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