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PEAF: Learnable Power Efficient Analog Acoustic Features for Audio
  Recognition

PEAF: Learnable Power Efficient Analog Acoustic Features for Audio Recognition

7 October 2021
Boris Bergsma
Minhao Yang
Milos Cernak
ArXivPDFHTML

Papers citing "PEAF: Learnable Power Efficient Analog Acoustic Features for Audio Recognition"

3 / 3 papers shown
Title
How Tiny Can Analog Filterbank Features Be Made for Ultra-low-power
  On-device Keyword Spotting?
How Tiny Can Analog Filterbank Features Be Made for Ultra-low-power On-device Keyword Spotting?
S. Ray
Xinghua Sun
Nolan Tremelling
Maria Gordiyenko
P. Kinget
28
1
0
17 Apr 2023
LEAF: A Learnable Frontend for Audio Classification
LEAF: A Learnable Frontend for Audio Classification
Neil Zeghidour
O. Teboul
Félix de Chaumont Quitry
Marco Tagliasacchi
VLM
AAML
85
144
0
21 Jan 2021
A scalable noisy speech dataset and online subjective test framework
A scalable noisy speech dataset and online subjective test framework
Chandan K. A. Reddy
Ebrahim Beyrami
Jamie Pool
Ross Cutler
Sriram Srinivasan
J. Gehrke
74
144
0
17 Sep 2019
1