Okko Räsänen

University of Tampere

Finland

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Articles (20)

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2025

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2025

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2020

Collaborators (12)

Sampsa Vanhatalo

FINLAND

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Nayeli Gonzalez-Gomez

Oxford Brookes University

UNITED KINGDOM

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Tiina Ihalainen

University of Tampere

FINLAND

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Anastasia Gallen

University of Helsinki

FINLAND

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Paavo Alku

Aalto University

FINLAND

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Sari Ylinen

University of Tampere

FINLAND

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María Andrea Cruz Blandón

University of Tampere

FINLAND

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Nelly Penttilä

University of Tampere

FINLAND

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Elisa Taylor

University of Helsinki

FINLAND

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Rachel Convey

University of Tampere

FINLAND

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Elika Bergelson

Associate Professor

Harvard University

UNITED STATES

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Konstantinos Drosos

University of Tampere

FINLAND

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Okko Räsänen

Research Interests

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Articles (20)

Simulating prenatal language exposure in computational models

A model of early word acquisition based on realistic-scale audiovisual naming events

Automatic Classification of Strain in the Singing Voice Using Machine Learning

IAR 2.0

Motherese Directed at Prelinguistic Infants at Risk for Neurological Disorders

PFML

Text-based Audio Retrieval by Learning from Similarities between Audio Captions

Trade-Offs Between Simplifying Inertial Measurement Unit–Based Movement Recordings and the Attainability of Different Levels of Analyses

Automatic assessment of infant carrying and holding using at-home wearable recordings

Automatic Assessment of Parkinson's Disease Using Speech Representations of Phonation and Articulation

Development of a speech emotion recognizer for large-scale child-centered audio recordings from a hospital environment

Introducing Meta-analysis in the Evaluation of Computational Models of Infant Language Development

Charting infants’ motor development at home using a wearable system

Comparison of End-to-End Neural Network Architectures and Data Augmentation Methods for Automatic Infant Motility Assessment Using Wearable Sensors

A comparative study of automatic vowel articulation index and auditory-perceptual assessments of speech intelligibility in Parkinson’s disease

Intelligent wearable allows out-of-the-lab tracking of developing motor abilities in infants

Language-Independent Approach for Automatic Computation of Vowel Articulation Features in Dysarthric Speech Assessment

Can phones, syllables, and words emerge as side-products of cross-situational audiovisual learning? - A computational investigation

A thorough evaluation of the Language Environment Analysis (LENA) system

ALICE: An open-source tool for automatic measurement of phoneme, syllable, and word counts from child-centered daylong recordings

Collaborators (12)

Sampsa Vanhatalo

Nayeli Gonzalez-Gomez

Tiina Ihalainen

Anastasia Gallen

Paavo Alku

Sari Ylinen

María Andrea Cruz Blandón

Nelly Penttilä

Elisa Taylor

Rachel Convey

Elika Bergelson

Konstantinos Drosos

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