Noisy Speaker Signal Adaptive Feedback Reduction by Using Time Domain Kalman Filter and Prediction Error Method Based-On Partition Block Frequency Domain Kalman Filter

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

ASGARI MOHAMMAD; AKBARI NARGES

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: JOURNAL OF IRANIAN ASSOCIATION OF ELECTRICAL AND ELECTRONICS ENGINEERS Year:2021 | Volume:18 | Issue:3 Page(s): 135-141

Download Full-Text

Persian Verion

View:

183

Download:

Cites:

Information Journal Paper

Title

Noisy Speaker Signal Adaptive Feedback Reduction by Using Time Domain Kalman Filter and Prediction Error Method Based-On Partition Block Frequency Domain Kalman Filter

Author(s)

ASGARI MOHAMMAD | AKBARI NARGES | Issue Writer Certificate

Keywords

Adaptive Feedback Cancellation

Acoustic feedback Control

Kalman Filter

Prediction Error Method

Frequency Domain Adaptive Filter

Time Domain Adaptive Filter

Partitioned-Block Frequency Domain Kalman Filter

Abstract

Acoustic feedback is often formed when the signal source is placed in front of the speaker. This creates an acoustic loop. Acoustic feedback reduces sound quality and produces artificial sounds. Acoustic feedback elimination methods can be used to improve Maximum Stable Gain (MSG) and sound quality. One of the approaches to deal with acoustic feedback is to use the error prediction method based on the Kalman frequency domain filter using feedback partition block. Simultaneous use of the Kalman Filter in the frequency domain and the segmentation of the feedback path has improved the criterion of maximum stability compared to methods such as Time Domain Adaptive Filters or without partition block of the feedback path. But this approach does not work well in the face of noisy input. In acoustic environments, the presence of ambient noise prevents the signal from being received without noise. In this study, after preprocessing (noisy signal with Gaussian noise with standard deviation of 0. 0 to 0. 5 dB), two steps: 1. Using Kalman Filter of time domain and 2. Using frequency domain Kalman Filter method using partition block of the feedback path is provided to improve the MSG criterion of about 3 to 4 dB.

Cites

No record.

References

No record.

Cite

APA: Copy

ASGARI, MOHAMMAD, & AKBARI, NARGES. (2021). Noisy Speaker Signal Adaptive Feedback Reduction by Using Time Domain Kalman Filter and Prediction Error Method Based-On Partition Block Frequency Domain Kalman Filter. JOURNAL OF IRANIAN ASSOCIATION OF ELECTRICAL AND ELECTRONICS ENGINEERS, 18(3 ), 135-141. SID. https://sid.ir/paper/965523/en

Vancouver: Copy

ASGARI MOHAMMAD, AKBARI NARGES. Noisy Speaker Signal Adaptive Feedback Reduction by Using Time Domain Kalman Filter and Prediction Error Method Based-On Partition Block Frequency Domain Kalman Filter. JOURNAL OF IRANIAN ASSOCIATION OF ELECTRICAL AND ELECTRONICS ENGINEERS[Internet]. 2021;18(3 ):135-141. Available from: https://sid.ir/paper/965523/en

IEEE: Copy

MOHAMMAD ASGARI, and NARGES AKBARI, “Noisy Speaker Signal Adaptive Feedback Reduction by Using Time Domain Kalman Filter and Prediction Error Method Based-On Partition Block Frequency Domain Kalman Filter,” JOURNAL OF IRANIAN ASSOCIATION OF ELECTRICAL AND ELECTRONICS ENGINEERS, vol. 18, no. 3 , pp. 135–141, 2021, [Online]. Available: https://sid.ir/paper/965523/en

Related Journal Papers

No record.

Related Seminar Papers

No record.

Related Plans

No record.

Recommended Workshops