A Cascade Architecture for Keyword Spotting on Mobile Devices

Alexander Gruenstein; Chris Thornton; Mohammadali Ghodrat; Raziel Alvarez

A Cascade Architecture for Keyword Spotting on Mobile Devices

Not yet reviewed by Pith; the record is open.

Re-run · record.json Download PDF Read on arXiv ↗

This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.

SPECIMEN: schema-true, not a live event

T0 review · schema-true

One-sentence machine reading of the paper's core claim.

pith:XXXXXXXX · record.json · timestamp

arxiv 1712.03603 v1 pith:TUDDIYRK submitted 2017-12-10 cs.SD eess.AS

Alexander Gruenstein , Raziel Alvarez , Chris Thornton , Mohammadali Ghodrat This is my paper

classification cs.SDeess.AS

keywords keywordarchitecturecascadedevicesmobilespottingableachieve

verification ladder T0 review T1 audit T2 compute T3 formal

0 comments

read the original abstract

We present a cascade architecture for keyword spotting with speaker verification on mobile devices. By pairing a small computational footprint with specialized digital signal processing (DSP) chips, we are able to achieve low power consumption while continuously listening for a keyword.

Discussion (0). Sign in to comment.

Forward citations

Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

Implementing Keyword Spotting on the MCUX947 Microcontroller with Integrated NPU
cs.HC 2025-06 conditional novelty 4.0 of 10

A quantized CNN keyword spotter on the MCXN947 runs 59x faster on the integrated NPU than on the CPU, with 97.06% accuracy on the Google Speech Commands "Marvin" task.

Pith tools