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Shoba S. Meera; Divya Swaminathan; Sri Ranjani Venkata Murali; Reny Raju; Malavi Srikar; Sahana Shyam Sundar; Senthil Amudhan; Alejandrina Cristia; Rahul Pawar; Achuth Rao; Prathyusha P. Vasuki; Shree Volme; Ashok Mysore – Journal of Speech, Language, and Hearing Research, 2025
Purpose: The Language ENvironment Analysis (LENA) technology uses automated speech processing (ASP) algorithms to estimate counts such as total adult words and child vocalizations, which helps understand children's early language environment. This ASP has been validated in North American English and other languages in predominantly monolingual…
Descriptors: Foreign Countries, Multilingualism, Adults, Speech Communication
Marvin Lavechin; Maureen de Seyssel; Hadrien Titeux; Guillaume Wisniewski; Hervé Bredin; Alejandrina Cristia; Emmanuel Dupoux – Developmental Science, 2025
Before they even talk, infants become sensitive to the speech sounds of their native language and recognize the auditory form of an increasing number of words. Traditionally, these early perceptual changes are attributed to an emerging knowledge of linguistic categories such as phonemes or words. However, there is growing skepticism surrounding…
Descriptors: Infants, Child Development, Acoustics, Native Language
Mathilde Léon; Shoba S. Meera; Anne-Caroline Fiévet; Alejandrina Cristia – Research Ethics, 2024
The last decade has seen a rise in big data approaches, including in the humanities, whereby large quantities of data are collected and analysed. In this paper, we discuss long-form audio recordings that result from individuals wearing a recording device for many hours. Linguists, psychologists and anthropologists can use them, for example, to…
Descriptors: Foreign Countries, Developing Nations, Data Collection, Audio Equipment