activity
20232026
most citedSemantic Hearing: Programming Acoustic Scenes with Binaural Hearables

29 citations · 59 across the 9 of their papers we have counts for

collaborators

9 papers

cs.SD2026

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…

cs.CL2025★ 2 cited

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…

cs.SD2025

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…

cs.SD2025★ 1 cited

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…

cs.SD2025

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…

cs.CL2024★ 2 cited

Target conversation extraction: Source separation using turn-taking dynamics

Tuochao Chen, Qirui Wang, Bohan Wu +4

Extracting the speech of participants in a conversation amidst interfering speakers and noise presents a challenging problem. In this paper, we introduce the novel task of target c…

cs.LG2024

Knowledge boosting during low-latency inference

Vidya Srinivas, Malek Itani, Tuochao Chen +3

Models for low-latency, streaming applications could benefit from the knowledge capacity of larger models, but edge devices cannot run these models due to resource constraints. A p…

cs.SD2024★ 25 cited

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…

cs.SD2023★ 29 cited

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…