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Marvin Lavechin

Showing results (1-10 of 9) with videos related to

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Journal of Child Language|May 29, 2023
Realistic and broad-scope learning simulations: first results and challengesMaureen de Seyssel, Marvin Lavechin, Emmanuel Dupoux
Behavior Research Methods|September 3, 2020
ALICE: An open-source tool for automatic measurement of phoneme, syllable, and word counts from child-centered daylong recordingsOkko Räsänen, Shreyas Seshadri, Marvin Lavechin, et al.
Behavior Research Methods|May 18, 2026
Classification errors distort findings in automated speech processing: Examples and solutions from child-development researchLucas Gautheron, Evan Kidd, Anton Malko, et al.
Cognition|December 19, 2024
Simulating prenatal language exposure in computational models: An exploration studyMaría Andrea Cruz Blandón, Nayeli Gonzalez-Gomez, Marvin Lavechin, et al.
Developmental Science|January 7, 2025
Simulating Early Phonetic and Word Learning Without Linguistic CategoriesMarvin Lavechin, Maureen de Seyssel, Hadrien Titeux, et al.
Behavior Research Methods|July 31, 2020
A thorough evaluation of the Language Environment Analysis (LENA) systemAlejandrina Cristia, Marvin Lavechin, Camila Scaff, et al.
Cognition|February 9, 2024
Modeling early phonetic acquisition from child-centered audio dataMarvin Lavechin, Maureen de Seyssel, Marianne Métais, et al.
IEEE Signal Processing Magazine|February 25, 2026
Automated Analysis of Naturalistic Recordings in Early Childhood: Applications, Challenges, and OpportunitiesJialu Li, Marvin Lavechin, Xulin Fan, et al.
Behavior Research Methods|September 20, 2024
Establishing the reliability of metrics extracted from long-form recordings using LENA and the ACLEW pipelineAlejandrina Cristia, Lucas Gautheron, Zixing Zhang, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
Journal of Child Language|May 29, 2023
Realistic and broad-scope learning simulations: first results and challengesMaureen de Seyssel, Marvin Lavechin, Emmanuel Dupoux
Behavior Research Methods|September 3, 2020
ALICE: An open-source tool for automatic measurement of phoneme, syllable, and word counts from child-centered daylong recordingsOkko Räsänen, Shreyas Seshadri, Marvin Lavechin, et al.
Behavior Research Methods|May 18, 2026
Classification errors distort findings in automated speech processing: Examples and solutions from child-development researchLucas Gautheron, Evan Kidd, Anton Malko, et al.
Cognition|December 19, 2024
Simulating prenatal language exposure in computational models: An exploration studyMaría Andrea Cruz Blandón, Nayeli Gonzalez-Gomez, Marvin Lavechin, et al.
Developmental Science|January 7, 2025
Simulating Early Phonetic and Word Learning Without Linguistic CategoriesMarvin Lavechin, Maureen de Seyssel, Hadrien Titeux, et al.
Behavior Research Methods|July 31, 2020
A thorough evaluation of the Language Environment Analysis (LENA) systemAlejandrina Cristia, Marvin Lavechin, Camila Scaff, et al.
Cognition|February 9, 2024
Modeling early phonetic acquisition from child-centered audio dataMarvin Lavechin, Maureen de Seyssel, Marianne Métais, et al.
IEEE Signal Processing Magazine|February 25, 2026
Automated Analysis of Naturalistic Recordings in Early Childhood: Applications, Challenges, and OpportunitiesJialu Li, Marvin Lavechin, Xulin Fan, et al.
Behavior Research Methods|September 20, 2024
Establishing the reliability of metrics extracted from long-form recordings using LENA and the ACLEW pipelineAlejandrina Cristia, Lucas Gautheron, Zixing Zhang, et al.
Pageof 1