7 papers
VoxKnesset: A Large-Scale Longitudinal Hebrew Speech Dataset for Aging Speaker Modeling
Yanir Marmor, Arad Zulti, David Krongauz +4
Speech processing systems face a fundamental challenge: the human voice changes with age, yet few datasets support rigorous longitudinal evaluation. We introduce VoxKnesset, an ope…
HPP-Voice: A Large-Scale Evaluation of Speech Embeddings for Multi-Phenotypic Classification
David Krongauz, Hido Pinto, Sarah Kohn +2
Human speech contains paralinguistic cues that reflect a speaker's physiological and neurological state, potentially enabling non-invasive detection of various medical phenotypes.…
Non-verbal information in spontaneous speech -- towards a new framework of analysis
Tirza Biron, Moshe Barboy, Eran Ben-Artzy +5
Non-verbal signals in speech are encoded by prosody and carry information that ranges from conversation action to attitude and emotion. Despite its importance, the principles that…
ivrit.ai: A Comprehensive Dataset of Hebrew Speech for AI Research and Development
Yanir Marmor, Kinneret Misgav, Yair Lifshitz
We introduce "ivrit.ai", a comprehensive Hebrew speech dataset, addressing the distinct lack of extensive, high-quality resources for advancing Automated Speech Recognition (ASR) t…
Assessing individual risk and the latent transmission of COVID-19 in a population with an interaction-driven temporal model
Yanir Marmor, Alex Abbey, Yuval Shahar +1
Interaction-driven modeling of diseases over real-world contact data has been shown to promote the understanding of the spread of diseases in communities. This temporal modeling fo…
Exploring the effects of activity-preserving time dilation on the dynamic interplay of airborne contagion processes and temporal networks using an interaction-driven model
Alex Abbey, Yanir Marmor, Yuval Shahar +1
Contacts' temporal ordering and dynamics are crucial for understanding the transmission of infectious diseases. We introduce an interaction-driven model of an airborne disease over…
Image Animation with Keypoint Mask
Or Toledano, Yanir Marmor, Dov Gertz
Motion transfer is the task of synthesizing future video frames of a single source image according to the motion from a given driving video. In order to solve it, we face the chall…