Nabeela Khan — accepted AI-conference papers

2026

Unsupervised Single-Channel Audio Separation with Diffusion Source Priors

Runwu Shi, Chang Li, Jiang Wang, Rui Zhang, Nabeela Khan, Benjamin Yen +2

AAAI 2026technical

Single-channel audio separation aims to separate individual sources from a single-channel mixture. Most existing methods rely on supervised learning with synthetically generated paired data. However, obtaining high-quality paired data in real-world scenarios is often difficult. This data scarcity ca

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2025

Improvement in Sign Language Translation Using Text CTC Alignment

Sihan Tan, Taro Miyazaki, Nabeela Khan, Kazuhiro Nakadai

COLING 2025main

Current sign language translation (SLT) approaches often rely on gloss-based supervision with Connectionist Temporal Classification (CTC), limiting their ability to handle non-monotonic alignments between sign language video and spoken text. In this work, we propose a novel method combining joint CT…

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