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Validation of the Language ENvironment Analysis (LENA) Automated Speech Processing Algorithm Labels for Adult and Child Segments in a Sample of Families from India
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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
Development and Validation of Sentences in Tamil for Psychoacoustic Evaluation of Voice Using the Consensus Auditory-Perceptual Evaluation of Voice
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Venkatraman, Yamini; Mahalingam, Shenbagavalli; Boominathan, Prakash – Journal of Speech, Language, and Hearing Research, 2022
Purpose: The Consensus Auditory-Perceptual Evaluation of Voice (CAPE-V) is a standardized instrument used in voice assessment to assess voice quality. It has been translated and culturally adapted in several languages. This study aimed at developing and validating a Tamil version of CAPE-V through auditory perceptual evaluation of remotely…
Descriptors: Sentences, Dravidian Languages, Acoustics, Auditory Perception