We introduce Conversational Voice Aesthetic Model, a speech large language model for describing the voice aesthetics of real or synthetic speech responses in natural conversational contexts. Given a context and a response speech, CVAM describes salient moments that characterize the voice and predicts nine categorical a...
Xi-Lin Jiang, Shun Zhang, T. Jayashankar et al.· 0 citations
AVMeme Exam, a human-curated benchmark of over one thousand iconic Internet sounds and videos spanning speech, songs, music, and sound effects, is introduced, showing current models perform poorly on textless music and sound effects, and struggle to think in context and in culture compared to surface content.
This survey aims to provide a structured conceptual foundation and practical guidance for advancing controllable and reliable video generation models and frame post-training as a unifying framework and distinguish between implicit alignment and explicit alignment based on how alignment signals are enforced.