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WSW2.0, using wav2vec2 and Whisper, achieved high accuracy in speaker classification and transcription of preschool classroom audio; scalability was demonstrated on a large dataset.
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RP @eessas-bot.bsky.social: Sun, Feng, Gutierrez, Londono, Xu, Elbaum, Narayanan, Perry, Messinger: Who Said What WSW 2.0? Enhanced Automated Analysis of Preschool Classroom Speech https://arxiv.org/abs/2505.09972 https://arxiv.org/pdf/2505.09972 https:…
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measures of key features of preschool classroom speech, ultimately guiding more effective intervention strategies and supporting early childhood language development. [7/7 of https://arxiv.org/abs/2505.09972v1]
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recordings, demonstrating the framework's robustness for broad real-world applications. These findings highlight the potential of deep learning and natural language processing techniques to revolutionize educational research by providing accurate [6/7 o…