Audio modeling and loudness estimation with IJDSP mobile simulations

Girish Kalyanasundaram, Mahesh Banavar, Andreas Spanias

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Audio signal modeling and simulation is important in several coding, noise removal, and recognition applications. This paper focuses on implementing models for loudness estimation and their use in estimating parameters on iOS mobile devices (iPhones and iPads). We briefly address estimating excitation patterns and loudness through auditory models. These loudness estimation and other algorithms were implemented in the award winning educational iOS app iJDSP for performing DSP simulations on mobile devices. The modules were introduced to graduate students in the general signal processing area, to evaluate their effectiveness as teaching tools. The evaluation process involved giving the students a pre-quiz, guiding them through hands-on activities on the iOS app, and finally, a post-quiz. Assessments results were positive with noticeable improvement of student understanding of topics such as spectrograms and linear predictive coding.

Original languageEnglish (US)
Title of host publicationICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages5550-5554
Number of pages5
Volume2015-August
ISBN (Print)9781467369978
DOIs
StatePublished - Aug 4 2015
Event40th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2015 - Brisbane, Australia
Duration: Apr 19 2014Apr 24 2014

Other

Other40th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2015
CountryAustralia
CityBrisbane
Period4/19/144/24/14

Fingerprint

Students
Application programs
Mobile devices
Signal processing
Teaching
iOS (operating system)

Keywords

  • auditory pattern
  • iJDSP
  • iOS
  • Loudness estimation
  • mobile education

ASJC Scopus subject areas

  • Signal Processing
  • Software
  • Electrical and Electronic Engineering

Cite this

Kalyanasundaram, G., Banavar, M., & Spanias, A. (2015). Audio modeling and loudness estimation with IJDSP mobile simulations. In ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings (Vol. 2015-August, pp. 5550-5554). [7179033] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICASSP.2015.7179033

Audio modeling and loudness estimation with IJDSP mobile simulations. / Kalyanasundaram, Girish; Banavar, Mahesh; Spanias, Andreas.

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. Vol. 2015-August Institute of Electrical and Electronics Engineers Inc., 2015. p. 5550-5554 7179033.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Kalyanasundaram, G, Banavar, M & Spanias, A 2015, Audio modeling and loudness estimation with IJDSP mobile simulations. in ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. vol. 2015-August, 7179033, Institute of Electrical and Electronics Engineers Inc., pp. 5550-5554, 40th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2015, Brisbane, Australia, 4/19/14. https://doi.org/10.1109/ICASSP.2015.7179033
Kalyanasundaram G, Banavar M, Spanias A. Audio modeling and loudness estimation with IJDSP mobile simulations. In ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. Vol. 2015-August. Institute of Electrical and Electronics Engineers Inc. 2015. p. 5550-5554. 7179033 https://doi.org/10.1109/ICASSP.2015.7179033
Kalyanasundaram, Girish ; Banavar, Mahesh ; Spanias, Andreas. / Audio modeling and loudness estimation with IJDSP mobile simulations. ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. Vol. 2015-August Institute of Electrical and Electronics Engineers Inc., 2015. pp. 5550-5554
@inproceedings{7fbe54b976944327b7afaa155e795979,
title = "Audio modeling and loudness estimation with IJDSP mobile simulations",
abstract = "Audio signal modeling and simulation is important in several coding, noise removal, and recognition applications. This paper focuses on implementing models for loudness estimation and their use in estimating parameters on iOS mobile devices (iPhones and iPads). We briefly address estimating excitation patterns and loudness through auditory models. These loudness estimation and other algorithms were implemented in the award winning educational iOS app iJDSP for performing DSP simulations on mobile devices. The modules were introduced to graduate students in the general signal processing area, to evaluate their effectiveness as teaching tools. The evaluation process involved giving the students a pre-quiz, guiding them through hands-on activities on the iOS app, and finally, a post-quiz. Assessments results were positive with noticeable improvement of student understanding of topics such as spectrograms and linear predictive coding.",
keywords = "auditory pattern, iJDSP, iOS, Loudness estimation, mobile education",
author = "Girish Kalyanasundaram and Mahesh Banavar and Andreas Spanias",
year = "2015",
month = "8",
day = "4",
doi = "10.1109/ICASSP.2015.7179033",
language = "English (US)",
isbn = "9781467369978",
volume = "2015-August",
pages = "5550--5554",
booktitle = "ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",

}

TY - GEN

T1 - Audio modeling and loudness estimation with IJDSP mobile simulations

AU - Kalyanasundaram, Girish

AU - Banavar, Mahesh

AU - Spanias, Andreas

PY - 2015/8/4

Y1 - 2015/8/4

N2 - Audio signal modeling and simulation is important in several coding, noise removal, and recognition applications. This paper focuses on implementing models for loudness estimation and their use in estimating parameters on iOS mobile devices (iPhones and iPads). We briefly address estimating excitation patterns and loudness through auditory models. These loudness estimation and other algorithms were implemented in the award winning educational iOS app iJDSP for performing DSP simulations on mobile devices. The modules were introduced to graduate students in the general signal processing area, to evaluate their effectiveness as teaching tools. The evaluation process involved giving the students a pre-quiz, guiding them through hands-on activities on the iOS app, and finally, a post-quiz. Assessments results were positive with noticeable improvement of student understanding of topics such as spectrograms and linear predictive coding.

AB - Audio signal modeling and simulation is important in several coding, noise removal, and recognition applications. This paper focuses on implementing models for loudness estimation and their use in estimating parameters on iOS mobile devices (iPhones and iPads). We briefly address estimating excitation patterns and loudness through auditory models. These loudness estimation and other algorithms were implemented in the award winning educational iOS app iJDSP for performing DSP simulations on mobile devices. The modules were introduced to graduate students in the general signal processing area, to evaluate their effectiveness as teaching tools. The evaluation process involved giving the students a pre-quiz, guiding them through hands-on activities on the iOS app, and finally, a post-quiz. Assessments results were positive with noticeable improvement of student understanding of topics such as spectrograms and linear predictive coding.

KW - auditory pattern

KW - iJDSP

KW - iOS

KW - Loudness estimation

KW - mobile education

UR - http://www.scopus.com/inward/record.url?scp=84946062896&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84946062896&partnerID=8YFLogxK

U2 - 10.1109/ICASSP.2015.7179033

DO - 10.1109/ICASSP.2015.7179033

M3 - Conference contribution

SN - 9781467369978

VL - 2015-August

SP - 5550

EP - 5554

BT - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

ER -