13 citations · 23 across the 18 of their papers we have counts for
6 papers · 1 filter
Speaker-IPL: Unsupervised Learning of Speaker Characteristics with i-Vector based Pseudo-Labels
Zakaria Aldeneh, Takuya Higuchi, Jee-weon Jung +6
Iterative self-training, or iterative pseudo-labeling (IPL) -- using an improved model from the current iteration to provide pseudo-labels for the next iteration -- has proven to b…
Exploring Prediction Targets in Masked Pre-Training for Speech Foundation Models
Li-Wei Chen, Takuya Higuchi, He Bai +6
Speech foundation models, such as HuBERT and its variants, are pre-trained on large amounts of unlabeled speech data and then used for a range of downstream tasks. These models use…
Towards Automatic Assessment of Self-Supervised Speech Models using Rank
Zakaria Aldeneh, Vimal Thilak, Takuya Higuchi +2
This study explores using embedding rank as an unsupervised evaluation metric for general-purpose speech encoders trained via self-supervised learning (SSL). Traditionally, assessi…
Naturalistic Head Motion Generation from Speech
Trisha Mittal, Zakaria Aldeneh, Masha Fedzechkina +2
Synthesizing natural head motion to accompany speech for an embodied conversational agent is necessary for providing a rich interactive experience. Most prior works assess the qual…
Aphasic Speech Recognition using a Mixture of Speech Intelligibility Experts
Matthew Perez, Zakaria Aldeneh, Emily Mower Provost
Robust speech recognition is a key prerequisite for semantic feature extraction in automatic aphasic speech analysis. However, standard one-size-fits-all automatic speech recogniti…
Identifying Mood Episodes Using Dialogue Features from Clinical Interviews
Zakaria Aldeneh, Mimansa Jaiswal, Michael Picheny +2
Bipolar disorder, a severe chronic mental illness characterized by pathological mood swings from depression to mania, requires ongoing symptom severity tracking to both guide and m…