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eess.AS2025
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…
eess.AS2024
State-Space Large Audio Language Models
Saurabhchand Bhati, Yuan Gong, Leonid Karlinsky +3
Large Audio Language Models (LALM) combine the audio perception models and the Large Language Models (LLM) and show a remarkable ability to reason about the input audio, infer the…
eess.AS2024
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…