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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 6 of 6 1 Mask estimation and imputation methods for missing data speech recognition in a multisource reverberant environment Keronen, Sami; Kallasjoki, Heikki; Remes, Ulpu... In: Computer speech and language. - Amsterdam [u.a.] : Elsevier 27 (2013) 3, 798-819 OLC Linguistik Show details 2 A computational model of binaural speech recognition: role of across-frequency vs. within-frequency processing and internal noise Brown, Guy J.; Palomäki, Kalle J. In: Speech communication. - Amsterdam [u.a.] : Elsevier 53 (2011) 6, 924-940 BLLDB OLC Linguistik Show details 3 A computational model of binaural speech recognition: Role of across-frequency vs. within-frequency processing and internal noise Palomäki, Kalle J.; Brown, Guy J. In: ISSN: 0167-6393 ; EISSN: 1872-7182 ; Speech Communication ; https://hal.archives-ouvertes.fr/hal-00746107 ; Speech Communication, Elsevier : North-Holland, 2011, 53 (6), pp.924. ⟨10.1016/j.specom.2011.03.005⟩ (2011) Abstract: International audience ; This study describes a model of binaural speech recognition that is tested against psychoacoustic findings on binaural speech intelligibility in noise. It consists of models of the auditory periphery, binaural pathway and recognition of speech from glimpses based on the missing data approach, which allows the speech reception threshold (SRT) of the model and listeners to be compared. The binaural advantage based on differences between the interaural time differences (ITD) of the target and masker is modelled using the equalization-cancellation (EC) mechanism, either independently within each frequency channel or across all channels. The model is tested using a stimulus paradigm in which the target speech and noise interference are split into low- and high-frequency bands, so that the ITD in each band can be varied independently. The match between the model and listener data is quantified by a normalised SRT distance and a correlation metric, which demonstrate a slightly better match for the within-channel model (SRT: 0.5 dB, correlation: 0.94), than for the across-channel model (SRT: 0.7 dB, correlation: 0.90). However, as the differences between the approaches are small and non-significant, our results suggest that listeners exploit ITD via a mechanism that is neither fully frequency-dependent nor fully frequency-independent. Keyword: [SCCO.LING]Cognitive science/Linguistics; binaural model; equalization cancellation model; missing data; speech recognition URL: https://doi.org/10.1016/j.specom.2011.03.005 https://hal.archives-ouvertes.fr/hal-00746107 https://hal.archives-ouvertes.fr/hal-00746107/file/PEER_stage2_10.1016%252Fj.specom.2011.03.005.pdf https://hal.archives-ouvertes.fr/hal-00746107/document BASE Hide details 4 Techniques for handling convolutional distortion with 5missing data' automatic speech recognition Palomäki, Kalle J.; Brown, Guy J.; Barker, Jon P. In: Speech communication. - Amsterdam [u.a.] : Elsevier 43 (2004) 1, 123-142 OLC Linguistik Show details 5 Techniques for handling convolutional distortion with 'missing data' automatic speech recognition Palomäki, Kalle J.; Brown, Guy J.; Barker, Jon P. In: Speech communication. - Amsterdam [u.a.] : Elsevier 43 (2004) 1-2, 123-142 BLLDB Show details 6 The recognition and organization of real-world sound Ellis, D. P. W. (Hrsg.); Cooke, M.P. (Hrsg.); Raj, Bhiksha (Mitarb.)... In: Speech communication. - Amsterdam [u.a.] : Elsevier 43 (2004) 4, 273-393 BLLDB Show details

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