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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 Abstract: Decades of research has studied how language learning infants learn to discriminate speech sounds, segment words, and associate words with their meanings. While gradual development of such capabilities is unquestionable, the exact nature of these skills and the underlying mental representations yet remains unclear. In parallel, computational studies have shown that basic comprehension of speech can be achieved by statistical learning between speech and concurrent referentially ambiguous visual input. These models can operate without prior linguistic knowledge such as representations of linguistic units, and without learning mechanisms specifically targeted at such units. This has raised the question of to what extent knowledge of linguistic units, such as phone(me)s, syllables, and words, could actually emerge as latent representations supporting the translation between speech and representations in other modalities, and without the units being proximal learning targets for the learner. In this study, we ... : Final manuscript published in Language Development Research under CC BY-NC-SA 4.0. Pre-print redistributed through arXiv with permission. Replaces corrupted PsyArXiv pre-print repository at https://psyarxiv.com/37zna ... Keyword: Artificial Intelligence cs.AI; Audio and Speech Processing eess.AS; Computation and Language cs.CL; Computer Vision and Pattern Recognition cs.CV; FOS Computer and information sciences; FOS Electrical engineering, electronic engineering, information engineering; I.2.0; I.2.6; I.2.7; I.2.10; Machine Learning cs.LG; Sound cs.SD URL: https://arxiv.org/abs/2109.14200 https://dx.doi.org/10.48550/arxiv.2109.14200 BASE Hide 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 BASE Show 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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