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L. Vrysis, CH. A.. Dimoulas, GE. M.. Kalliris, and G. Papanikolaou, "Mobile Audio Measurements Platform: Toward Audio Semantic Intelligence into Ubiquitous Computing Environments," Paper 8912, (2013 May.). doi: L. Vrysis, CH. A.. Dimoulas, GE. M.. Kalliris, and G. Papanikolaou, "Mobile Audio Measurements Platform: Toward Audio Semantic Intelligence into Ubiquitous Computing Environments," Paper 8912, (2013 May.). doi:
Abstract: The current paper presents the implementation of a mobile software environment that provides a suite of professional-grade audio and acoustic analysis tools for smartphones and tablets. The suite includes sound level monitoring, real-time time-frequency analysis, reverberation time, and impulse response measurements, whereas feature-based intelligent content analysis is deployed in terms of long-term audio events detection and segmentation. The paper investigates the implementation of a flexible and user-friendly environment, which can be easily used by non-specialists, providing professional functionality and fidelity of specific-purpose devices and eliminating the mobile-interfacing and hardware limitations. Emphasis is given to the integration of additional capabilities that will offer valuable amenities to the user, having to do with the management of measurement sessions and intelligent cloud-based semantic analysis.

@article{vrysis2013mobile,
author={vrysis, lazaros and dimoulas, charalampos a. and kalliris, george m. and papanikolaou, george},
journal={journal of the audio engineering society},
title={mobile audio measurements platform: toward audio semantic intelligence into ubiquitous computing environments},
year={2013},
volume={},
number={},
pages={},
doi={},
month={may},} @article{vrysis2013mobile,
author={vrysis, lazaros and dimoulas, charalampos a. and kalliris, george m. and papanikolaou, george},
journal={journal of the audio engineering society},
title={mobile audio measurements platform: toward audio semantic intelligence into ubiquitous computing environments},
year={2013},
volume={},
number={},
pages={},
doi={},
month={may},
abstract={the current paper presents the implementation of a mobile software environment that provides a suite of professional-grade audio and acoustic analysis tools for smartphones and tablets. the suite includes sound level monitoring, real-time time-frequency analysis, reverberation time, and impulse response measurements, whereas feature-based intelligent content analysis is deployed in terms of long-term audio events detection and segmentation. the paper investigates the implementation of a flexible and user-friendly environment, which can be easily used by non-specialists, providing professional functionality and fidelity of specific-purpose devices and eliminating the mobile-interfacing and hardware limitations. emphasis is given to the integration of additional capabilities that will offer valuable amenities to the user, having to do with the management of measurement sessions and intelligent cloud-based semantic analysis.},}

TY - paper
TI - Mobile Audio Measurements Platform: Toward Audio Semantic Intelligence into Ubiquitous Computing Environments
SP - EP -
AU - Vrysis, Lazaros
AU - Dimoulas, Charalampos A.
AU - Kalliris, George M.
AU - Papanikolaou, George
PY - 2013
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - May 2013 TY - paper
TI - Mobile Audio Measurements Platform: Toward Audio Semantic Intelligence into Ubiquitous Computing Environments
SP - EP -
AU - Vrysis, Lazaros
AU - Dimoulas, Charalampos A.
AU - Kalliris, George M.
AU - Papanikolaou, George
PY - 2013
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - May 2013
AB - The current paper presents the implementation of a mobile software environment that provides a suite of professional-grade audio and acoustic analysis tools for smartphones and tablets. The suite includes sound level monitoring, real-time time-frequency analysis, reverberation time, and impulse response measurements, whereas feature-based intelligent content analysis is deployed in terms of long-term audio events detection and segmentation. The paper investigates the implementation of a flexible and user-friendly environment, which can be easily used by non-specialists, providing professional functionality and fidelity of specific-purpose devices and eliminating the mobile-interfacing and hardware limitations. Emphasis is given to the integration of additional capabilities that will offer valuable amenities to the user, having to do with the management of measurement sessions and intelligent cloud-based semantic analysis.