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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
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2
Can phones, syllables, and words emerge as side-products of cross-situational audiovisual learning? -- A computational investigation ...
Khorrami, Khazar; Räsänen, Okko. - : arXiv, 2021
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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
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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
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5
A thorough evaluation of the Language Environment Analysis (LENA) system
In: Behav Res Methods (2021)
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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
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7
A thorough evaluation of the Language Environment Analysis (LENA) system
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)
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8
Analysis of Predictive Coding Models for Phonemic Representation Learning in Small Datasets ...
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9
ALICE: An open-source tool for automatic measurement of phoneme, syllable, and word counts from child-centered daylong recordings
In: Behav Res Methods (2020)
BASE
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10
A computational model of early language acquisition from audiovisual experiences of young infants ...
Räsänen, Okko; Khorrami, Khazar. - : arXiv, 2019
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11
SylNet: An Adaptable End-to-End Syllable Count Estimator for Speech ...
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12
Is infant-directed speech interesting because it is surprising? – Linking properties of IDS to statistical learning and attention at the prosodic level ...
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13
Pre-linguistic segmentation of speech into syllable-like units ...
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14
Zs2017 Aaltolag Submission #1 (Mostly Testing) ...
Räsänen, Okko; Seshadri, Shreyas. - : Zenodo, 2017
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15
Zs2017 Aaltolag Submission #1 (Mostly Testing) ...
Räsänen, Okko; Seshadri, Shreyas. - : Zenodo, 2017
BASE
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16
Making predictable unpredictable with style – Behavioral and electrophysiological evidence for the critical role of prosodic expectations in the perception of prominence in speech ...
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17
Analyzing Distributional Learning of Phonemic Categories in Unsupervised Deep Neural Networks
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18
Feedback and imitation by a caregiver guides a virtual infant to learn native phonemes and the skill of speech inversion
In: Speech communication. - Amsterdam [u.a.] : Elsevier 55 (2013) 9, 909-931
OLC Linguistik
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19
Computational modeling of phonetic and lexical learning in early language acquisition: existing models and future directions
In: Speech communication. - Amsterdam [u.a.] : Elsevier 54 (2012) 9, 975-997
BLLDB
OLC Linguistik
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20
A computational model of word segmentation from continuous speech using transitional probabilities of atomic acoustic events
In: Cognition. - Amsterdam [u.a] : Elsevier 120 (2011) 2, 149-176
BLLDB
OLC Linguistik
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