164 citations · 797 across the 24 of their papers we have counts for
3 papers · 1 filter
DASS: Distilled Audio State Space Models Are Stronger and More Duration-Scalable Learners
Saurabhchand Bhati, Yuan Gong, Leonid Karlinsky +3
State-space models (SSMs) have emerged as an alternative to Transformers for audio modeling due to their high computational efficiency with long inputs. While recent efforts on Aud…
Whisper-Flamingo: Integrating Visual Features into Whisper for Audio-Visual Speech Recognition and Translation
Andrew Rouditchenko, Yuan Gong, Samuel Thomas +4
Audio-Visual Speech Recognition (AVSR) uses lip-based video to improve performance in noise. Since videos are harder to obtain than audio, the video training data of AVSR models is…
Listen, Think, and Understand
Yuan Gong, Hongyin Luo, Alexander H. Liu +2
The ability of artificial intelligence (AI) systems to perceive and comprehend audio signals is crucial for many applications. Although significant progress has been made in this a…