From the 2 of 21 linked papers with an AI index.
11 papers · 1 filter
Summary of DCASE 2026 Task 5: Audio-Dependent Question Answering
Haolin He, Renhe Sun, Zheqi Dai +16
DCASE~2026 Task~5 introduces Audio-Dependent Question Answering (ADQA), which tests whether large audio-language models answer from the audio rather than from textual priors. An Au…
Efficient Text-to-Audio Generation via Pruning
Arshdeep Singh, Yi Yuan, Yun Chen +2
The paper applies filter‑based pruning to the U‑Net backbone of the AudioLDM text‑to‑audio diffusion model, reducing most of its parameters and compute while preserving generation…
Explainable AI in Speaker Recognition -- Making Latent Representations Understandable
Yanze Xu, Wenwu Wang, Mark D. Plumbley
Neural networks can be trained to learn task-relevant representations from data. Understanding how these networks make decisions falls within the Explainable AI (XAI) domain. This…
Explainable AI in Speaker Recognition -- Attention Map Visualisation and Evaluation
Yanze Xu, Mark D. Plumbley, Wenwu Wang
Explaining and understanding the decision-making process of artificial intelligence (AI) systems, particularly those implemented by neural networks, falls within the field of expla…
BioDCASE 2026 Challenge Baseline for Cross-Domain Mosquito Species Classification
Yuanbo Hou, Vanja Zdravkovic, Marianne Sinka +5
Mosquito-borne diseases affect more than one billion people each year and cause close to one million deaths. Traditional surveillance methods rely on traps and manual identificatio…
Measuring Audio's Impact on Correctness: Audio-Contribution-Aware Post-Training of Large Audio Language Models
Haolin He, Xingjian Du, Renhe Sun +16
Large Audio Language Models (LALMs) represent an important frontier in multimodal AI, addressing diverse audio tasks. Recently, post-training of LALMs has received increasing atten…