NDLI: Application of model order reduction approach on quality evaluation of speech signal

Content Provider	IEEE Xplore Digital Library
Author	Arif, M. Anand, R.S.
Copyright Year	2012
Description	Author affiliation: Department of Electrical Engineering, Indian Institute of Technology Roorkee, Roorkee-247667, Uttarakhand, India (Arif, M.; Anand, R.S.)
Abstract	In this paper, a model order reduction approach has been used to compare the performance of hearing quality of the voice sound of lower and higher order systems. To implement this, an input signal in the form of one of the standard speech signal from IPA database has been applied on the original higher order system as well as on the reduced order system. This form of the input signal is applied to generate the voice sound of the speech signal and a comparison is being made on the hearing quality of the output of both the systems. First of all, one of the model reduction approach i.e. Schur approach has been applied on the original higher order system to obtain a reduced order system by eliminating undesired order without losing any key properties of original higher order system. Now, the reduced order system contains the lower order as desired by the user. After that, an input speech signal is applied separately on both the systems. Then, the outputs of both the systems have been obtained by the convolution operation. Further, the output signal of original higher order system in distorted form and reconstructed signal of the lower order system are obtained by de-convolution operation separately. Finally, a comparison has been made on the output signals of both the systems and observed that the voice sound of generated speech signal by lower order system has good hearing quality. But the generated voice sound by original higher order system has lost its quality. So, a model order reduction approach gives far much better hearing quality of the voice sound by the processing through lower order system in comparison with the original higher order system.
Starting Page	136
Ending Page	140
File Size	139476
Page Count	5
File Format	PDF
ISBN	9781457707193
e-ISBN	9781457707209
DOI	10.1109/NCCISP.2012.6189694
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-03-02
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Reduced order system Hearing quality Equations International Phonetic Alphabet (IPA) Speech signal State space approach Auditory system Speech Finite impulse response filter Reduced order systems Higher order system Mathematical model Speech processing
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Comparison of two open-loop adaptive speech enhancement algorithms for digital hearing aids

Enhancement of performance parameters of speech signal using model order reduction approach

A new technique to filter reduction for speech signal processing systems

Adaptive feedback cancelling in subbands for hearing aids

Order selection of the hearing aid Feedback Canceller filter based on its impulse response energy

Run length encoding for speech data compression

A computer-controlled digital master hearing aid

A computer controlled digital master hearing aid

Kalman filter and state-space approach to blind deconvolution

Application of model order reduction approach on quality evaluation of speech signal

Similar Documents

Comparison of two open-loop adaptive speech enhancement algorithms for digital hearing aids

Enhancement of performance parameters of speech signal using model order reduction approach

A new technique to filter reduction for speech signal processing systems

Adaptive feedback cancelling in subbands for hearing aids

Order selection of the hearing aid Feedback Canceller filter based on its impulse response energy

Run length encoding for speech data compression

A computer-controlled digital master hearing aid

A computer controlled digital master hearing aid

Kalman filter and state-space approach to blind deconvolution

Application of model order reduction approach on quality evaluation of speech signal