25 citations · 54 across the 14 of their papers we have counts for
4 papers · 1 filter
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…
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…
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…