8 citations · 25 across the 8 of their papers we have counts for
12 papers
Merit: Making every modality earn its contribution in multimodal attention decoding
Ali Alavi, Donald S. Williamson
More than 1.5 billion people have hearing loss. When several people talk at once, hearing aids amplify every voice alike. Auditory attention decoding (AAD) aims to solve this by re…
How Hackable Is Your Speech Quality Metric? A Corrected Protocol, a Benchmark, and What Patching Buys
Ali Alavi, Donald S. Williamson
Speech quality predictors are increasingly used as rewards, yet no agreed measure of their hackability exists. The usual measurement has two flaws. First, the perturbation reaches…
NEUROTOKEN: Joint Source and Directional AAD with Envelope Decoding via Conditional Flow Matching
Ali Alavi, Donald S. Williamson
Identifying which speaker a listener is attending to in a noisy room -- the cocktail-party problem -- is the missing ingredient for next-generation hearing aids and brain-computer…
MAESTRO: a Multimodal Auditory-attention Egocentric Speech-TRacking Open corpus
K M Naimul Hassan, Ali Alavi, Donald S. Williamson
Humans rely on gaze, head movements, and visual cues to attend to speakers in noisy environments, yet auditory attention decoding (AAD) has been studied primarily using electroence…
Privacy-preserving and Privacy-attacking Approaches for Speech and Audio -- A Survey
Yuchen Liu, Apu Kapadia, Donald Williamson
In contemporary society, voice-controlled devices, such as smartphones and home assistants, have become pervasive due to their advanced capabilities and functionality. The always-o…
MMViT: Multiscale Multiview Vision Transformers
Yuchen Liu, Natasha Ong, Kaiyan Peng +8
We present Multiscale Multiview Vision Transformers (MMViT), which introduces multiscale feature maps and multiview encodings to transformer models. Our model encodes different vie…