Partial Equalization of Non-Minimum-Phase Impulse Responses

Ahfir, Maamar; Kale, I.; Krukowski, Artur; Berkani, Daoud

doi:10.1155/asp/2006/67467

Cited by 8 publications

(7 citation statements)

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“…Room-reverberation compensation, on the other hand, only needs to compensate the channel so that signals are perceived without reverberation. In other words, it would be sufficient to equalize a room impulse response (RIR) only partially [5], [6], so that all audible echoes The associate editor coordinating the review of this manuscript and approving it for publication was Prof. Stephen J. Elliott.…”

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confidence: 99%

“…For instance, for the least-squares plus postprocessing method in [1], the performance depends closely on the postprocessing filter. Another example is the approach in [6] for the design of minimum-phase inverse filters, which is based on a homomorphic transformation and a relocation of the dominant poles. In this method, the dominant poles of the inverse filter of the minimum-phase part of the RIR, which are the ones that are closest to the unit circle in the complex plane, are moved closer to the origin so as to quicken the decay of the resulting inverse filter.…”

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confidence: 99%

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Room Impulse Response Shortening/Reshaping With Infinity- and $p$-Norm Optimization

Mertins

Mei

Kallinger

2010

IEEE Trans. Audio Speech Lang. Process.

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Abstract-The purpose of room impulse response (RIR) shortening and reshaping is usually to improve the intelligibility of the received signal by prefiltering the source signal before it is played with a loudspeaker in a closed room. In an alternative, but mathematically equivalent setting, one may aim to postfilter a recorded microphone signal to remove audible echoes. While least-squares methods have mainly been used for the design of shortening/reshaping filters for RIRs until now, we propose to use the infinityor -norm as optimization criteria. In our method, design errors will be uniformly distributed over the entire temporal range of the shortened/reshaped global impulse response. In addition, the psychoacoustic property of masking effects is considered during the filter design, which makes it possible to significantly reduce the filter length, compared to standard approaches, without affecting the perceived performance.

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confidence: 99%

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confidence: 99%

Room Impulse Response Shortening/Reshaping With Infinity- and $p$-Norm Optimization

Mertins

Mei

Kallinger

2010

IEEE Trans. Audio Speech Lang. Process.

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“…Homomorphic filtering was already proposed for minimum phase equalization in the seminal paper of Neely and Allen [5], but many other authors introduced modified versions of the homomorphic technique [56][57][58]. In homomorphic filtering, the minimum phase part of the room response is extracted from the causal part of the complex cepstrum.…”

Section: Homomorphic Filteringmentioning

confidence: 99%

Room Response Equalization—A Review

2017

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Room response equalization aims at improving the sound reproduction in rooms by applying advanced digital signal processing techniques to design an equalizer on the basis of one or more measurements of the room response. This topic has been intensively studied in the last 40 years, resulting in a number of effective techniques facing different aspects of the problem. This review paper aims at giving an overview of the existing methods following their historical evolution, and discussing pros and cons of each approach with relation to the room characteristics, as well as instrumental and perceptual measures. The review is concluded by a discussion on emerging topics and new trends. This paper aims to provide an up-to-date review on RRE, discussing the pros and the cons of each technique, following the historical evolution. It is worth underlining that the RRE problem is analyzed from the viewpoint of impulse response analysis. All approaches that are not directly based on RIR analysis (e.g., parametric or graphic equalizers) are not discussed. The reader is referred to [11] for a comprehensive review on this topic. Another research field related to RRE which is not addressed in this paper is sound spatialization. The reader is referred to [12] for a recent review.This review article is organized as follows: Section 2 describes the characteristics of room impulse responses and its perception by the human auditory system. Section 3 introduces the basic concept of RRE, explaining the main challenges in inverting room responses. Section 4 describes the approaches used for equalizer design following their historical evolution. Section 5 discusses pre-processing techniques used to cope for RIR variations by exploiting human perception. Section 6 covers the evolution from single-point to multi-point equalization using multiple microphones placed within the room. Section 7 reports adaptive approaches for RRE in the framework of single-point and multi-point equalization. Section 8 introduces innovative approaches following a wave-theoretical view on the problem. Section 9 describes instrumental and perceptual measures used for state-of-the-art evaluation of RRE approaches. Section 10 reports emerging methods and new trends in the field. Finally, Section 11 concludes this review. The Room Response and Its PerceptionThe characteristics of the room response in the time and frequency domain are related to the acoustic properties of the environment that influence human perception. Due to this aspect, it is sensible to shape the impulse response analysis in order to handle important issues that should be considered in the RRE procedure to reach a sound listening improvement. This includes knowledge on human perception and psychoacoustics to be exploited explicitly in the equalization procedure. Appl. Sci. 2018, 8, 16 4 of 47An impulse response, obtained from a sound source in a specific position of a real environment, can be divided into three parts [13]: (i) direct sound; (ii) early reflections, and (iii) late reflections, as r...

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“…For channel equalization, the original signal is recovered completely from the received signal which is deformed by the channel [3]. On the other hand, room-reverberation compensation will compensate the received signal so that it is perceived without reverberation, in other words, there are not any echoes being heard, which means it is a kind of partial equalization [4] [5].…”

Section: Introductionmentioning

confidence: 99%

“…For instance, for the least-squares plus post-processing approach in [1], the performance depends closely on the post-processing filter. Another example is the homomorphic-based minimum-phase inverse filter design method plus dominant-poles relocation [5]. In this method, the dominant poles of the inverse filter of the minimum-phase part of the RIR, which are the ones that are closest to the unit circle in the complex plane, are moved closer to the origin so as to quicken the decay of the resulting inverse filter.…”

Section: Introductionmentioning

confidence: 99%

Room impulse response shortening with infinity-norm optimization

Mei

Mertins

Kallinger

2009

2009 IEEE International Conference on Acoustics, Speech and Signal Processing

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The purpose of room impulse response (RIR) shortening is to improve the intelligibility of the received signal by prefiltering the source signal before it is played with a loudspeaker in a closed room. In this paper, we propose to use the infinity-norm as optimization criterion for the design of shortening filters of RIRs. Similar to the equiripple filter design method, design errors will be uniformly distributed over the unwanted temporal range of the shortened global impulse response. The D50 measure is exploited during the design of the shortening filter, which makes it possible to significantly reduce the length of the prefilter without affecting the perceived performance.

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Partial Equalization of Non-Minimum-Phase Impulse Responses

Cited by 8 publications

References 5 publications

Room Impulse Response Shortening/Reshaping With Infinity- and $p$-Norm Optimization

Room Impulse Response Shortening/Reshaping With Infinity- and $p$-Norm Optimization

Room Response Equalization—A Review

Room impulse response shortening with infinity-norm optimization

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