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Collaborative and Energy-Efficient Speech Monitoring on Smart Devices.

The Collaborative Energy-Efficient Speech Recognition (CeeSR) platform enables speech monitoring in everyday situations by opportunistically connecting smart devices and capturing and unifying their audio streams. An audio-source selection algorithm balances energy cost with information usefulness,...

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Published in:Computer (00189162) Vol. 49; no. 12; pp. 22 - 31
Main Authors: Leppanen, Jarno, Pelkonen, Mikko, Guo, Haipeng, Hemminki, Samuli, Nurmi, Petteri, Tarkoma, Sasu
Format: Article
Published: IEEE Dec2016
Subjects:
Energy consumption
Algorithms
Source code
Information & communication technologies
Information sharing
Online Access:View this record in EBSCOhost
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        au:
          Leppanen, Jarno
          Pelkonen, Mikko
          Guo, Haipeng
          Hemminki, Samuli
          Nurmi, Petteri
          Tarkoma, Sasu
        affil: University of Helsinki
      su:
        Energy consumption
        Algorithms
        Source code
        Information & communication technologies
        Information sharing
      sug:
        subj:
          Energy consumption
          Algorithms
          Source code
          Information & communication technologies
          Information sharing
      keyword:
        audio sensing
        Collaboration
        collaborative sensing
        Energy efficiency
        hardware
        mobile sensing
        mobile sensing platforms
        multidevice interaction
        Sensors
        Smart devices
        Speech
        speech monitoring
        Speech recognition
        Switches
      ab: The Collaborative Energy-Efficient Speech Recognition (CeeSR) platform enables speech monitoring in everyday situations by opportunistically connecting smart devices and capturing and unifying their audio streams. An audio-source selection algorithm balances energy cost with information usefulness, and another algorithm automatically detects when devices should share data.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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