15 citations · 17 across the 9 of their papers we have counts for
3 papers · 1 filter
Benchmarking LLMs on the Massive Sound Embedding Benchmark (MSEB)
Cyril Allauzen, Tom Bagby, Georg Heigold +2
The Massive Sound Embedding Benchmark (MSEB) has emerged as a standard for evaluating the functional breadth of audio models. While initial baselines focused on specialized encoder…
Massive Sound Embedding Benchmark (MSEB)
Georg Heigold, Ehsan Variani, Tom Bagby +4
Audio is a critical component of multimodal perception, and any truly intelligent system must demonstrate a wide range of auditory capabilities. These capabilities include transcri…
Speaker Generation
Daisy Stanton, Matt Shannon, Soroosh Mariooryad +4
This work explores the task of synthesizing speech in nonexistent human-sounding voices. We call this task "speaker generation", and present TacoSpawn, a system that performs compe…