Perfect-sweep NLMS for time-variant acoustic system identification

Antweiler, Christiane; Telle, Aulis; Vary, Peter; Enzner, Gerald

doi:10.1109/icassp.2012.6287930

Cited by 19 publications

(10 citation statements)

References 9 publications

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“…Filter length and PS sequence length are chosen to N " M " 256 to ensure fast filter convergence whilst still providing good frequency resolution and guaranteeing periodicity with N " M . Due to the sweeping character of the PS signal, its perfectness, and low crest factor, relatively high amounts of energy can be fed into the system without severe nonlinear distortions, thus leading to a high SNR [20]. Additionally, periodic repetitions are possible without transition artifacts, which further allows to increase the excitation energy.…”

Section: Excitation Signalsmentioning

confidence: 97%

“…In our methodology we carry on Antweiler et al's work [20] by employing a dynamic acoustic room simulation with nonlinear processing. This accounts for the fact, that good system identification results considerably rely on the achievable signal-to-observationnoise ratio (SNR).…”

Section: Introductionmentioning

confidence: 99%

“…Excitation signals may range from noise(-like) sequences [12] over sweep signals [13], with higher energy efficiency, to perfect sequences [14][15][16][17][18] with an impulse-like autocorrelation function. In combining the advantages of the latter two, normalized least mean squares (NLMS) system identification with perfect sweep (PS) excitation [19,20] shows promising results.…”

Section: Introductionmentioning

confidence: 99%

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Towards reproducible evaluation of automotive hands-free systems in dynamic conditions

Jung

Richter

Fingscheidt

2013

2013 IEEE International Conference on Acoustics, Speech and Signal Processing

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Reproducible evaluation of dynamic and nonlinear systems is a nontrivial problem. However, automotive speech processing algorithms such as hands-free systems have to be tested under numerous timevariant conditions in a repeatable fashion. The current way of generating time-varying echo paths, as described in ITU-T Recommendation P.1110, relies on a rotating reflecting surface in a car interior, which lacks both flexibility and reproducibility. We propose an automotive loudspeaker-enclosure-microphone (LEM) system identification approach based on the normalized least mean squares (NLMS) algorithm and a perfect sweep excitation signal. Time-variant simulations of a nonlinear system model show a significant improvement of error signal attenuation by over 7 dB, compared to a white noise excitation, also confirmed by automotive measurements. We present the necessary steps to identify dynamic automotive LEM systems to obtain traces of impulse responses for later reproducible tests of automotive hands-free systems. The method has been proposed to ITU-T standardization in focus group (FG) CARCOM.

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Section: Excitation Signalsmentioning

confidence: 97%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Towards reproducible evaluation of automotive hands-free systems in dynamic conditions

Jung

Richter

Fingscheidt

2013

2013 IEEE International Conference on Acoustics, Speech and Signal Processing

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“…With the NLMS method, it is possible to generate continuous HRTFs in azimuth without interpolation. 7 More recently, a generalization to multiple elevations 8 and a variant with improved robustness against acoustic nonlinearity 9 have been proposed. The NLMS method could also be beneficial for loudspeakerbased 3D sound synthesis applications using crosstalk cancellation and head-tracking to efficiently measure the required transfer functions.…”

Section: Introductionmentioning

confidence: 99%

Comparison of head-related impulse response measurement approaches

Rothbucher

Veprek

Paukner

et al. 2013

The Journal of the Acoustical Society of America

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The well-established static head-related transfer function (HRTF) measurement approaches using maximum length sequences and sine sweeps are compared with a recent HRTF estimation approach using normalized least mean square adaptive filters, which enables a continuous movement of the person to be measured during the recording of the excitation signal. By using continuous movement HRTF measurement, a huge amount of time for the individual HRTF estimation can be saved to create a dense HRTF database for headphone-based sound synthesis or applications such as crosstalk cancellation for loudspeakerbased sound synthesis. The different approaches are implemented and experimentally compared by objective and subjective evaluation.

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“…Therefore, in acoustics has begun to apply methodologies to "find" the mathematical models [5,6,7,8]. Some of them are known as system identification, and every day new metodologies have been created [9,10,11,12,13].…”

Section: Introductionmentioning

confidence: 99%

The threshold of the difference between a mathematical model applied to active noise control and data recorded

Quintana¹,

Gallego²

2013

Proceedings of Meetings on Acoustics

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Nowadays, there are many methods used to obtain mathematical models applied to active noise control, especially, when the transfer function is required. Inside rooms, the global active sound control has bad results due to the reflections and the diffuse field. Then, authors have applied system identification to find more complex mathematical models based on measured data. Also, the number of system identification methodologies is increasing and it carries to having many unexplored models. In order to know which models are useful for global active noise control inside rooms, a relationship between the sound pressure level decreased and the error of the mathematical model is presented. First, the concept of "a useful mathematical model" is defined under any context based on an analysis of the error (FIT). In addition, this concept is delimited to the active noise control context. Finally, an example is presented.

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Perfect-sweep NLMS for time-variant acoustic system identification

Cited by 19 publications

References 9 publications

Towards reproducible evaluation of automotive hands-free systems in dynamic conditions

Towards reproducible evaluation of automotive hands-free systems in dynamic conditions

Comparison of head-related impulse response measurement approaches

The threshold of the difference between a mathematical model applied to active noise control and data recorded

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