29 citations · 59 across the 9 of their papers we have counts for
6 papers · 1 filter
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…
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…
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…
Look Once to Hear: Target Speech Hearing with Noisy Examples
Bandhav Veluri, Malek Itani, Tuochao Chen +2
In crowded settings, the human brain can focus on speech from a target speaker, given prior knowledge of how they sound. We introduce a novel intelligent hearable system that achie…
Semantic Hearing: Programming Acoustic Scenes with Binaural Hearables
Bandhav Veluri, Malek Itani, Justin Chan +2
Imagine being able to listen to the birds chirping in a park without hearing the chatter from other hikers, or being able to block out traffic noise on a busy street while still be…