Okko Räsänen

University of Tampere

Finland

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Articles (20)

Simulating prenatal language exposure in computational models

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Year:

2025

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

Article Link

Year:

2025

Automatic Classification of Strain in the Singing Voice Using Machine Learning

Article Link

Year:

2025

IAR 2.0

Article Link

Year:

2025

Motherese Directed at Prelinguistic Infants at Risk for Neurological Disorders

Article Link

Year:

2025

PFML

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Year:

2025

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

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Year:

2025

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

Article Link

Year:

2025

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

Article Link

Year:

2024

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

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Year:

2023

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

Article Link

Year:

2023

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

Article Link

Year:

2023

Charting infants’ motor development at home using a wearable system

Article Link

Year:

2023

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

Article Link

Year:

2023

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

Article Link

Year:

2023

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

Article Link

Year:

2022

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

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Year:

2021

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

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Year:

2021

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

Article Link

Year:

2020

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

Article Link

Year:

2020

Collaborators (12)

Sampsa Vanhatalo

FINLAND

Nayeli Gonzalez-Gomez

Oxford Brookes University

UNITED KINGDOM

Tiina Ihalainen

University of Tampere

FINLAND

Anastasia Gallen

University of Helsinki

FINLAND

Paavo Alku

Aalto University

FINLAND

Sari Ylinen

University of Tampere

FINLAND

María Andrea Cruz Blandón

University of Tampere

FINLAND

Nelly Penttilä

University of Tampere

FINLAND

Elisa Taylor

University of Helsinki

FINLAND

Rachel Convey

University of Tampere

FINLAND

Elika Bergelson

Associate Professor

Harvard University

UNITED STATES

Konstantinos Drosos

University of Tampere

FINLAND

Okko Räsänen

Research Interests

Explore related searches

Contact this professor

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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