5 papers
Fine-grained Soundscape Control for Augmented Hearing
Seunghyun Oh, Malek Itani, Aseem Gauri +1
Hearables are becoming ubiquitous, yet their sound controls remain blunt: users can either enable global noise suppression or focus on a single target sound. Real-world acoustic sc…
Proactive Hearing Assistants that Isolate Egocentric Conversations
Guilin Hu, Malek Itani, Tuochao Chen +1
We introduce proactive hearing assistants that automatically identify and separate the wearer's conversation partners, without requiring explicit prompts. Our system operates on eg…
Wireless Hearables With Programmable Speech AI Accelerators
Malek Itani, Tuochao Chen, Arun Raghavan +2
The conventional wisdom has been that designing ultra-compact, battery-constrained wireless hearables with on-device speech AI models is challenging due to the high computational d…
TF-MLPNet: Tiny Real-Time Neural Speech Separation
Malek Itani, Tuochao Chen, Shyamnath Gollakota
Speech separation on hearable devices can enable transformative augmented and enhanced hearing capabilities. However, state-of-the-art speech separation networks cannot run in real…
Neural Speech Extraction with Human Feedback
Malek Itani, Ashton Graves, Sefik Emre Eskimez +1
We present the first neural target speech extraction (TSE) system that uses human feedback for iterative refinement. Our approach allows users to mark specific segments of the TSE…