Search Results for author: Naomi Caselli

Found 4 papers, 3 papers with code

The Sem-Lex Benchmark: Modeling ASL Signs and Their Phonemes

1 code implementation30 Sep 2023 Lee Kezar, Elana Pontecorvo, Adele Daniels, Connor Baer, Ruth Ferster, Lauren Berger, Jesse Thomason, Zed Sevcikova Sehyr, Naomi Caselli

Sign language recognition and translation technologies have the potential to increase access and inclusion of deaf signing communities, but research progress is bottlenecked by a lack of representative data.

Fairness Sign Language Recognition

Exploring Strategies for Modeling Sign Language Phonology

1 code implementation30 Sep 2023 Lee Kezar, Riley Carlin, Tejas Srinivasan, Zed Sehyr, Naomi Caselli, Jesse Thomason

Specifically, we explore how learning strategies like multi-task and curriculum learning can leverage mutually useful information between phoneme types to facilitate better modeling of sign language phonemes.

Sign Language Recognition, Generation, and Translation: An Interdisciplinary Perspective

1 code implementation22 Aug 2019 Danielle Bragg, Oscar Koller, Mary Bellard, Larwan Berke, Patrick Boudrealt, Annelies Braffort, Naomi Caselli, Matt Huenerfauth, Hernisa Kacorri, Tessa Verhoef, Christian Vogler, Meredith Ringel Morris

Developing successful sign language recognition, generation, and translation systems requires expertise in a wide range of fields, including computer vision, computer graphics, natural language processing, human-computer interaction, linguistics, and Deaf culture.

Cultural Vocal Bursts Intensity Prediction Sign Language Recognition +1

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