Selective Attention System (SAS): Device-Addressed Speech Detection for Real-Time On-Device Voice AI
We study device-addressed speech detection under pre-ASR edge deployment constraints, where systems must decide whether to forward audio before transcription under strict latency and compute limits. We show that, in multi-speaker environments with temporally ambiguous utterances, this task is more effectively modelled as a sequential routing problem over interaction history than as an utterance-local classification task. We formalize this as Sequential Device-Addressed Routing (SDAR) and present the Selective Attention System (SAS), an on-device implementation that instantiates this formulation. On a held-out 60-hour multi-speaker English test set, the primary audio-only configuration ach...
| Authors | David Joohun Kim, Daniyal Anjum, Bonny Banerjee et al. |
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| Primary category | cs.SD |
| Published | 9 April 2026 |
| Last updated at source | 9 April 2026 |
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