7 papers
Speaker Verification Under Real Classroom Conditions for English Speech
Saba Tabatabaee, Jing Liu, Meghavarshini Krishnaswamy +2
Developing speaker verification (SV) models that are robust to classroom noise and effective across both children and adult speakers is critical for AI tools supporting educational…
Towards Language-Agnostic Speech Inversion
Saba Tabatabaee, Mark Tiede, Suzanne Boyce +2
Characteristic timing patterns are reflected in the acoustic speech signal, encompassing both vocal tract configuration and acoustic excitation. Previous studies have demonstrated…
Towards noise-robust speech inversion through multi-task learning with speech enhancement
Saba Tabatabaee, Carol Espy-Wilson
Recent studies demonstrate the effectiveness of Self Supervised Learning (SSL) speech representations for Speech Inversion (SI). However, applying SI in real-world scenarios remain…
Acoustic to Articulatory Speech Inversion for Children with Velopharyngeal Insufficiency
Saba Tabatabaee, Suzanne Boyce, Liran Oren +2
Traditional clinical approaches for assessing nasality, such as nasopharyngoscopy and nasometry, involve unpleasant experiences and are problematic for children. Speech Inversion (…
Perceptual Ratings Predict Speech Inversion Articulatory Kinematics in Childhood Speech Sound Disorders
Nina R. Benway, Saba Tabatabaee, Dongliang Wang +3
Purpose: This study evaluated whether articulatory kinematics, inferred by Articulatory Phonology speech inversion neural networks, aligned with perceptual ratings of /r/ and /s/ i…
Enhancing Acoustic-to-Articulatory Speech Inversion by Incorporating Nasality
Saba Tabatabaee, Suzanne Boyce, Liran Oren +2
Speech is produced through the coordination of vocal tract constricting organs: lips, tongue, velum, and glottis. Previous works developed Speech Inversion (SI) systems to recover…