5 citations · 7 across the 4 of their papers we have counts for
4 papers
Reference-Driven Multi-Speaker Audio Scene Generation from In-the-Wild Priors
Michael Finkelson, Daniel Segal, Eitan Richardson +7
Existing multi-speaker dialogue systems bind speakers to utterances through structured supervision: per-turn tags, multi-stream transcriptions, or learnable speaker embeddings. The…
LTX-2: Efficient Joint Audio-Visual Foundation Model
Yoav HaCohen, Benny Brazowski, Nisan Chiprut +26
Recent text-to-video diffusion models can generate compelling video sequences, yet they remain silent -- missing the semantic, emotional, and atmospheric cues that audio provides.…
LTX-Video: Realtime Video Latent Diffusion
Yoav HaCohen, Nisan Chiprut, Benny Brazowski +13
We introduce LTX-Video, a transformer-based latent diffusion model that adopts a holistic approach to video generation by seamlessly integrating the responsibilities of the Video-V…
Collective Learning by Ensembles of Altruistic Diversifying Neural Networks
Benjamin Brazowski, Elad Schneidman
Combining the predictions of collections of neural networks often outperforms the best single network. Such ensembles are typically trained independently, and their superior `wisdo…