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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 – 20 of 20 1 Models and activations for "Can phones, syllables, and words emerge as side-products of cross-situational audiovisual learning? - A computational investigation" ... Khorrami, Khazar; Räsänen, Okko. - : Zenodo, 2021 BASE Show details 2 Can phones, syllables, and words emerge as side-products of cross-situational audiovisual learning? -- A computational investigation ... Khorrami, Khazar; Räsänen, Okko. - : arXiv, 2021 BASE Show details 3 Models and activations for "Can phones, syllables, and words emerge as side-products of cross-situational audiovisual learning? - A computational investigation" ... Khorrami, Khazar; Räsänen, Okko. - : Zenodo, 2021 BASE Show details 4 Can phones, syllables, and words emerge as side-products of cross-situational audiovisual learning? - A computational investigation ... Khorrami, Khazar; Räsänen, Okko. - : Carnegie Mellon University Library Publishing Service, 2021 BASE Show details 5 A thorough evaluation of the Language Environment Analysis (LENA) system Cristia, Alejandrina; Lavechin, Marvin; Scaff, Camila... In: Behav Res Methods (2021) BASE Show details 6 ALICE: An open-source tool for automatic measurement of phoneme, syllable, and word counts from child-centered daylong recordings [<Journal>] Räsänen, Okko [Verfasser]; Seshadri, Shreyas [Verfasser]; Lavechin, Marvin [Verfasser]. DNB Subject Category Language Show details 7 A thorough evaluation of the Language Environment Analysis (LENA) system Cristia, Alejandrina; Lavechin, Marvin; Scaff, Camila... In: ISSN: 1554-351X ; EISSN: 1554-3528 ; Behavior Research Methods ; https://hal.archives-ouvertes.fr/hal-03095997 ; Behavior Research Methods, Psychonomic Society, Inc, 2020, 53 (2), pp.467-486. &#x27E8;10.3758/s13428-020-01393-5&#x27E9; (2020) BASE Show details 8 Analysis of Predictive Coding Models for Phonemic Representation Learning in Small Datasets ... Blandón, María Andrea Cruz; Räsänen, Okko. - : arXiv, 2020 BASE Show details 9 ALICE: An open-source tool for automatic measurement of phoneme, syllable, and word counts from child-centered daylong recordings Räsänen, Okko; Seshadri, Shreyas; Lavechin, Marvin... In: Behav Res Methods (2020) BASE Show details 10 A computational model of early language acquisition from audiovisual experiences of young infants ... Räsänen, Okko; Khorrami, Khazar. - : arXiv, 2019 BASE Show details 11 SylNet: An Adaptable End-to-End Syllable Count Estimator for Speech ... Seshadri, Shreyas; Räsänen, Okko. - : arXiv, 2019 BASE Show details 12 Is infant-directed speech interesting because it is surprising? – Linking properties of IDS to statistical learning and attention at the prosodic level ... Räsänen, Okko; Kakouros, Sofoklis; Soderstrom, Melanie. - : PsyArXiv, 2017 BASE Show details 13 Pre-linguistic segmentation of speech into syllable-like units ... Räsänen, Okko; Doyle, Gabriel; Frank, Michael. - : PsyArXiv, 2017 BASE Show details 14 Zs2017 Aaltolag Submission #1 (Mostly Testing) ... Räsänen, Okko; Seshadri, Shreyas. - : Zenodo, 2017 BASE Show details 15 Zs2017 Aaltolag Submission #1 (Mostly Testing) ... Räsänen, Okko; Seshadri, Shreyas. - : Zenodo, 2017 Abstract: First submission to the IEEE ASRU / Zero-Resource Speech Processing Challenge with a syllable-based pattern discovery system. Mostly testing the functionality of the system and ensuring that track1 / track2 results replicate for Mandarin/English/French also on the server. The track1/track2 systems require MATLAB (see the readme in /system/ for dependencies and tested platform). Questions and comments to okko.rasanen@aalto.fi. Note: This package is NOT an official distribution of the included pattern discovery system. The package is simply intended as a ZS2017 challenge submission and the current version contains large amounts of undocumented lab code. ... : See the readme in the system folder for a brief description of the system. Assumes cosine distance and pattern length normalization in track1 evaluation. Please see the readme in the system folder for a list of dependencies that are included in the package for completeness of challenge submission, but are not created or maintained by the present authors. ... URL: https://zenodo.org/record/810807 https://dx.doi.org/10.5281/zenodo.810807 BASE Hide details 16 Making predictable unpredictable with style – Behavioral and electrophysiological evidence for the critical role of prosodic expectations in the perception of prominence in speech ... Kakouros, Sofoklis; Salminen, Nelli; Räsänen, Okko. - : PsyArXiv, 2017 BASE Show details 17 Analyzing Distributional Learning of Phonemic Categories in Unsupervised Deep Neural Networks Räsänen, Okko; Nagamine, Tasha; Mesgarani, Nima. - 2016 BASE Show details 18 Feedback and imitation by a caregiver guides a virtual infant to learn native phonemes and the skill of speech inversion Rasilo, Heikki; Räsänen, Okko; Laine, Unto K. In: Speech communication. - Amsterdam [u.a.] : Elsevier 55 (2013) 9, 909-931 OLC Linguistik Show details 19 Computational modeling of phonetic and lexical learning in early language acquisition: existing models and future directions Räsänen, Okko In: Speech communication. - Amsterdam [u.a.] : Elsevier 54 (2012) 9, 975-997 BLLDB OLC Linguistik Show details 20 A computational model of word segmentation from continuous speech using transitional probabilities of atomic acoustic events Räsänen, Okko In: Cognition. - Amsterdam [u.a] : Elsevier 120 (2011) 2, 149-176 BLLDB OLC Linguistik Show details

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