Partitioned block frequency domain prediction error method based acoustic feedback cancellation for long feedback path

Research output: Contribution to conferencePaper

Abstract

In this paper an innovative method of using Acoustic Feedback Cancellation (PEM based PBFD-AFC) in large acoustic spaces is presented. The system under analysis could vary from Single Source Single Receiver (SISR) to a Multiple Sources Multiple Receivers (MSMR). An environment is representative of (e.g.) churches installations or Public Address (PA) systems, thus involving the presence of one or more microphones and corresponding feedback paths. The Partitioned Block approach consists of slicing the feedback path (e.g the impulse response of the system) to improve the algorithm performance. It can be applied either in the time domain or in the frequency domain, where the latter, called Partitioned Block Frequency Domain, shows faster convergence, lower computational cost and higher estimation accuracy. The results of the proposed framework is compared with the state of the art using real acoustic data showing superior performance with up to 20dB Maximum Stable Gain (MSG) and 30 seconds less convergence time.

Conference

Conference11th IMA International Conference on Mathematics in Signal Processing
CountryUnited Kingdom
CityBirmingham
Period12/12/1614/12/16
Internet address

Fingerprint

Acoustics
Feedback
Public address systems
Religious buildings
Microphones
Impulse response
Costs

Keywords

  • acoustic feedback cancellation
  • acoustic feedback
  • partitioned block frequency domain

Cite this

Izzo, A., Ausiello, L., Clemente, C., & Soraghan, J. J. (2016). Partitioned block frequency domain prediction error method based acoustic feedback cancellation for long feedback path. Paper presented at 11th IMA International Conference on Mathematics in Signal Processing , Birmingham, United Kingdom.
Izzo, Alessio ; Ausiello, Ludovico ; Clemente, Carmine ; Soraghan, John J. / Partitioned block frequency domain prediction error method based acoustic feedback cancellation for long feedback path. Paper presented at 11th IMA International Conference on Mathematics in Signal Processing , Birmingham, United Kingdom.5 p.
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title = "Partitioned block frequency domain prediction error method based acoustic feedback cancellation for long feedback path",
abstract = "In this paper an innovative method of using Acoustic Feedback Cancellation (PEM based PBFD-AFC) in large acoustic spaces is presented. The system under analysis could vary from Single Source Single Receiver (SISR) to a Multiple Sources Multiple Receivers (MSMR). An environment is representative of (e.g.) churches installations or Public Address (PA) systems, thus involving the presence of one or more microphones and corresponding feedback paths. The Partitioned Block approach consists of slicing the feedback path (e.g the impulse response of the system) to improve the algorithm performance. It can be applied either in the time domain or in the frequency domain, where the latter, called Partitioned Block Frequency Domain, shows faster convergence, lower computational cost and higher estimation accuracy. The results of the proposed framework is compared with the state of the art using real acoustic data showing superior performance with up to 20dB Maximum Stable Gain (MSG) and 30 seconds less convergence time.",
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note = "11th IMA International Conference on Mathematics in Signal Processing ; Conference date: 12-12-2016 Through 14-12-2016",
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Izzo, A, Ausiello, L, Clemente, C & Soraghan, JJ 2016, 'Partitioned block frequency domain prediction error method based acoustic feedback cancellation for long feedback path' Paper presented at 11th IMA International Conference on Mathematics in Signal Processing , Birmingham, United Kingdom, 12/12/16 - 14/12/16, .

Partitioned block frequency domain prediction error method based acoustic feedback cancellation for long feedback path. / Izzo, Alessio; Ausiello, Ludovico; Clemente, Carmine; Soraghan, John J.

2016. Paper presented at 11th IMA International Conference on Mathematics in Signal Processing , Birmingham, United Kingdom.

Research output: Contribution to conferencePaper

TY - CONF

T1 - Partitioned block frequency domain prediction error method based acoustic feedback cancellation for long feedback path

AU - Izzo, Alessio

AU - Ausiello, Ludovico

AU - Clemente, Carmine

AU - Soraghan, John J.

PY - 2016/12/14

Y1 - 2016/12/14

N2 - In this paper an innovative method of using Acoustic Feedback Cancellation (PEM based PBFD-AFC) in large acoustic spaces is presented. The system under analysis could vary from Single Source Single Receiver (SISR) to a Multiple Sources Multiple Receivers (MSMR). An environment is representative of (e.g.) churches installations or Public Address (PA) systems, thus involving the presence of one or more microphones and corresponding feedback paths. The Partitioned Block approach consists of slicing the feedback path (e.g the impulse response of the system) to improve the algorithm performance. It can be applied either in the time domain or in the frequency domain, where the latter, called Partitioned Block Frequency Domain, shows faster convergence, lower computational cost and higher estimation accuracy. The results of the proposed framework is compared with the state of the art using real acoustic data showing superior performance with up to 20dB Maximum Stable Gain (MSG) and 30 seconds less convergence time.

AB - In this paper an innovative method of using Acoustic Feedback Cancellation (PEM based PBFD-AFC) in large acoustic spaces is presented. The system under analysis could vary from Single Source Single Receiver (SISR) to a Multiple Sources Multiple Receivers (MSMR). An environment is representative of (e.g.) churches installations or Public Address (PA) systems, thus involving the presence of one or more microphones and corresponding feedback paths. The Partitioned Block approach consists of slicing the feedback path (e.g the impulse response of the system) to improve the algorithm performance. It can be applied either in the time domain or in the frequency domain, where the latter, called Partitioned Block Frequency Domain, shows faster convergence, lower computational cost and higher estimation accuracy. The results of the proposed framework is compared with the state of the art using real acoustic data showing superior performance with up to 20dB Maximum Stable Gain (MSG) and 30 seconds less convergence time.

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KW - acoustic feedback

KW - partitioned block frequency domain

UR - https://ima.org.uk/1363/11th-ima-international-conference-mathematics-signal-processing/

M3 - Paper

ER -

Izzo A, Ausiello L, Clemente C, Soraghan JJ. Partitioned block frequency domain prediction error method based acoustic feedback cancellation for long feedback path. 2016. Paper presented at 11th IMA International Conference on Mathematics in Signal Processing , Birmingham, United Kingdom.