DocumentCode :
730869
Title :
Audio modeling and loudness estimation with IJDSP mobile simulations
Author :
Kalyanasundaram, Girish ; Banavar, Mahesh ; Spanias, Andreas
Author_Institution :
SenSIP Center, Arizona State Univ., Tempe, AZ, USA
fYear :
2015
fDate :
19-24 April 2015
Firstpage :
5550
Lastpage :
5554
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 :
audio signal processing; engineering education; loudness; DSP simulations; IJDSP mobile simulations; audio signal modeling; auditory models; iOS mobile devices; iPad; iPhone; linear predictive coding; loudness estimation; spectrograms; Digital signal processing; Estimation; Mobile communication; Signal to noise ratio; Spectrogram; Speech; Speech processing; Loudness estimation; auditory pattern; iJDSP; iOS; mobile education;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2015 IEEE International Conference on
Conference_Location :
South Brisbane, QLD
Type :
conf
DOI :
10.1109/ICASSP.2015.7179033
Filename :
7179033
Link To Document :
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