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Several different glimpsing models were employed, differing in the local signal-to-noise ratio (SNR) used for detection, the minimum glimpse size, and the use of information in the masked regions. Recognition results were compared with behavioral data. A quantitative analysis demonstrated that the proportion of the time\u2013frequency plane glimpsed is a good predictor of intelligibility. Recognition scores in each noise condition confirmed that sufficient information exists in glimpses to support consonant identification. Close fits to listeners\u2019 performance were obtained at two local SNR thresholds: one at around 8dB and another in the range \u22125 to \u22122dB. A transmitted information analysis revealed that cues to voicing are degraded more in the model than in human auditory processing.<\/jats:p>","DOI":"10.1121\/1.2166600","type":"journal-article","created":{"date-parts":[[2006,3,1]],"date-time":"2006-03-01T10:12:04Z","timestamp":1141207924000},"page":"1562-1573","update-policy":"https:\/\/doi.org\/10.1063\/aip-crossmark-policy-page","source":"Crossref","is-referenced-by-count":580,"title":["A glimpsing model of speech perception in noise"],"prefix":"10.1121","volume":"119","author":[{"given":"Martin","family":"Cooke","sequence":"first","affiliation":[{"name":"University of Sheffield Department of Computer Science, , Regent Court, 211 Portobello Street, Sheffield, S1 4DP, United Kingdom"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"231","reference":[{"key":"2023072820413319900_c1","doi-asserted-by":"publisher","first-page":"687","DOI":"10.1121\/1.410306","article-title":"Recognition of plosive syllables in noise: Comparison of an auditory model with human performance","volume":"96","year":"1994","journal-title":"J. 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