24 citations · 24 across the 3 of their papers we have counts for
4 papers
MTVA-Bench: Evaluating the Language Model Inside Cascaded Voice Agents
Pritish Mishra, Ishaan Kumar, Akshat Mandoli +1
Generally, most voice agents are cascaded systems, i.e., an ASR model transcribes the caller's audio, a language model reads the transcript and decides what to say and which backen…
PoDAR: Power-Decoupled Audio Representation for Generative Modeling
Alejandro Luebs, Mithilesh Vaidya, Ishaan Kumar +5
The performance of audio latent diffusion models is primarily governed by generator expressivity and the modelability of the underlying latent space. While recent research has focu…
UpstreamQA: A Modular Framework for Explicit Reasoning on Video Question Answering Tasks
Jason Nguyen, Ameet Rao, Alexander Chang +2
Video Question Answering (VideoQA) demands models that jointly reason over spatial, temporal, and linguistic cues. However, the task's inherent complexity often requires multi-step…
High-Fidelity Audio Compression with Improved RVQGAN
Rithesh Kumar, Prem Seetharaman, Alejandro Luebs +2
Language models have been successfully used to model natural signals, such as images, speech, and music. A key component of these models is a high quality neural compression model…