3 papers
cs.SD2026
MRMAD: A Multi-Round Multi-Audio Benchmark for Evaluating Acoustic Degradation Perception in Large Audio-Language Models
Yize Li, Ningyuan Yang, Sile Yin +6
Large audio-language models (LALMs) have shown promising progress in understanding speech, music, and general sound events, yet their ability to reason about how audio signals are…
cs.SD2026
No Word Left Behind: Mitigating Prefix Bias in Open-Vocabulary Keyword Spotting
Yi Liu, Chuan-Che Huang, Xiao Quan
Open-vocabulary keyword spotting (OV-KWS) enables personalized device control via arbitrary voice commands. Recently, researchers have explored using audio-text joint embeddings, a…
cs.SD2024
"It is okay to be uncommon": Quantizing Sound Event Detection Networks on Hardware Accelerators with Uncommon Sub-Byte Support
Yushu Wu, Xiao Quan, Mohammad Rasool Izadi +1
If our noise-canceling headphones can understand our audio environments, they can then inform us of important sound events, tune equalization based on the types of content we liste…