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DSP.Ear: Leveraging Co-Processor Support for Continuous Audio Sensing on
  Smartphones

DSP.Ear: Leveraging Co-Processor Support for Continuous Audio Sensing on Smartphones

ACM International Conference on Embedded Networked Sensor Systems (SenSys), 2014
10 September 2014
Petko Georgiev
Nicholas D. Lane
K. Rachuri
Cecilia Mascolo
ArXiv (abs)PDFHTML

Papers citing "DSP.Ear: Leveraging Co-Processor Support for Continuous Audio Sensing on Smartphones"

10 / 10 papers shown
Distributed data analytics
Distributed data analytics
Richard Mortier
Hamed Haddadi
S. S. Rodríguez
Liang Wang
323
2
0
26 Mar 2022
Exploring System Performance of Continual Learning for Mobile and
  Embedded Sensing Applications
Exploring System Performance of Continual Learning for Mobile and Embedded Sensing Applications
Young D. Kwon
Jagmohan Chauhan
Abhishek Kumar
Pan Hui
Cecilia Mascolo
CLLHAI
198
39
0
25 Oct 2021
FastICARL: Fast Incremental Classifier and Representation Learning with
  Efficient Budget Allocation in Audio Sensing Applications
FastICARL: Fast Incremental Classifier and Representation Learning with Efficient Budget Allocation in Audio Sensing ApplicationsInterspeech (Interspeech), 2021
Young D. Kwon
Jagmohan Chauhan
Cecilia Mascolo
HAI
289
20
0
14 Jun 2021
Knowing when we do not know: Bayesian continual learning for
  sensing-based analysis tasks
Knowing when we do not know: Bayesian continual learning for sensing-based analysis tasks
S. S. Rodríguez
Cecilia Mascolo
Young D. Kwon
CLL
198
13
0
06 Jun 2021
FLAME: A Self-Adaptive Auto-labeling System for Heterogeneous Mobile
  Processors
FLAME: A Self-Adaptive Auto-labeling System for Heterogeneous Mobile ProcessorsIFIP International Information Security Conference (IIS), 2020
Jie Liu
Jiawen Liu
Zhen Xie
Dong Li
254
5
0
03 Mar 2020
Mobile Recognition of Wikipedia Featured Sites using Deep Learning and
  Crowd-sourced Imagery
Mobile Recognition of Wikipedia Featured Sites using Deep Learning and Crowd-sourced Imagery
Jimin Tan
A. Noulas
Diego Sáez
Rossano Schifanella
3DHHAI
116
0
0
22 Oct 2019
Exploring the Vision Processing Unit as Co-processor for Inference
Exploring the Vision Processing Unit as Co-processor for Inference
Sergio Rivas-Gomez
Antonio J. Peña
D. Moloney
Erwin Laure
Stefano Markidis
BDL
128
25
0
09 Oct 2018
Gated Recurrent Unit (GRU) for Emotion Classification from Noisy Speech
Gated Recurrent Unit (GRU) for Emotion Classification from Noisy Speech
R. Rana
110
121
0
13 Dec 2016
Emotion Classification from Noisy Speech - A Deep Learning Approach
Emotion Classification from Noisy Speech - A Deep Learning Approach
R. Rana
136
10
0
18 Mar 2016
Opportunistic and Context-aware Affect Sensing on Smartphones: The
  Concept, Challenges and Opportunities
Opportunistic and Context-aware Affect Sensing on Smartphones: The Concept, Challenges and Opportunities
R. Rana
Margee Hume
John Reilly
Raja Jurdak
J. Soar
127
20
0
10 Feb 2015
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