activity
20222026
most citedLook Once to Hear: Target Speech Hearing with Noisy Examples

25 citations · 54 across the 14 of their papers we have counts for

collaborators

15 papers

cs.CL2026

Micro Language Models Enable Instant Responses

Wen Cheng, Tuochao Chen, Karim Helwani +3

Edge devices such as smartwatches and smart glasses cannot continuously run even the smallest 100M-1B parameter language models due to power and compute constraints, yet cloud infe…

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.CL2025

AV-Dialog: Spoken Dialogue Models with Audio-Visual Input

Tuochao Chen, Bandhav Veluri, Hongyu Gong +1

Dialogue models falter in noisy, multi-speaker environments, often producing irrelevant responses and awkward turn-taking. We present AV-Dialog, the first multimodal dialog framewo…

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…

eess.AS2025

SoundSculpt: Direction and Semantics Driven Ambisonic Target Sound Extraction

Tuochao Chen, D Shin, Hakan Erdogan +1

This paper introduces SoundSculpt, a neural network designed to extract target sound fields from ambisonic recordings. SoundSculpt employs an ambisonic-in-ambisonic-out architectur…

cs.LG2025

LLAMAPIE: Proactive In-Ear Conversation Assistants

Tuochao Chen, Nicholas Batchelder, Alisa Liu +2

We introduce LlamaPIE, the first real-time proactive assistant designed to enhance human conversations through discreet, concise guidance delivered via hearable devices. Unlike tra…

cs.CL2025

Spatial Speech Translation: Translating Across Space With Binaural Hearables

Tuochao Chen, Qirui Wang, Runlin He +1

Imagine being in a crowded space where people speak a different language and having hearables that transform the auditory space into your native language, while preserving the spat…

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.NI2023

Underwater 3D positioning on smart devices

Tuochao Chen, Justin Chan, Shyamnath Gollakota

The emergence of water-proof mobile and wearable devices (e.g., Garmin Descent and Apple Watch Ultra) designed for underwater activities like professional scuba diving, opens up op…

cs.SD2022★ 3 cited

Real-Time Target Sound Extraction

Bandhav Veluri, Justin Chan, Malek Itani +3

We present the first neural network model to achieve real-time and streaming target sound extraction. To accomplish this, we propose Waveformer, an encoder-decoder architecture wit…

cs.NI2022

Underwater Acoustic Ranging Between Smartphones

Tuochao Chen, Justin Chan, Shyamnath Gollakota

We present a novel underwater system that can perform acoustic ranging between commodity smartphones. To achieve this, we design a real-time underwater ranging protocol that comput…

cs.NI2022★ 22 cited

Underwater Messaging Using Mobile Devices

Tuochao Chen, Justin Chan, Shyamnath Gollakota

Since its inception, underwater digital acoustic communication has required custom hardware that neither has the economies of scale nor is pervasive. We present the first acoustic…