Topics in Acoustic Echo and Noise Control: Selected Methods by Professor (em.) Dr.-Ing. Eberhard Hänsler, Dr.-Ing. Gerhard

By Professor (em.) Dr.-Ing. Eberhard Hänsler, Dr.-Ing. Gerhard Schmidt (eds.)

In this booklet, a global group of hugely certified specialists treats vital issues in acoustic echo and noise keep an eye on and reviews the most recent advancements. tools for boosting the standard of speech signs are gaining growing to be realization in universities and in business improvement laboratories.

This ebook is prepared in 5 elements: half I offers a brief advent to acoustic echo and noise keep an eye on. half II bargains with multi-microphone processing. partially III, complex equipment for either linear and nonlinear echo cancellation are awarded, and methods for clever regulate of hands-free phones are brought. half IV is dedicated to noise relief systems. An in-depth therapy of traditional and of complex tools is given, via a version dependent technique utilizing Kalman filters. ultimately, partially V, chosen purposes of acoustic echo and noise keep an eye on in addition to speech and audio processing often are defined. issues comparable to auditory scene research, wave box synthesis for spatial sound copy, in-car communique platforms, and listening to aids are treated.

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Herbordt, W. Kellermann, S. Nakamura Fig. 4. Joint optimization of adaptive beamforming and acoustic echo cancellation. 3) where T T y(n) = y T 0 (n), y 1 (n), . . 4) T y m (n) = ym (n), ym (n − 1), . . 5) T T T x(n) = xT 0 (n), x1 (n), . . 6) xq (n) = xq (n), xq (n − 1), . . , xq (n − Nhˆ + 1) T T w(n) = wT 0 (n), w 1 (n), . . 8) T wm (n) = w0,m (n), w1,m (n), . . 9) T ˆT ˆT ˆ ˆT h(n) = h 0 (n), h1 (n), . . , hQ−1 (n) , ˆ 1,q (n), . . 10) T . 11) Nw and Nhˆ are the number of filter coefficients of the beamformer weight ˆ q (n), respectively.

The acoustic echo paths may vary strongly over time due to moving sources or changes in the acoustic environment requiring a good tracking performance of the adaptation algorithm [12]. Reverberation time of the acoustic environment. , T60 ≈ 50 ms in passenger cabins of vehicles to T60 > 1 s in public halls. 1) where ERLE is the desired echo suppression of the AEC in dB [12], as a rule of thumb it becomes obvious that with many realistic acoustic environments and sampling rates fs = 8 − 48 kHz, FIR filters with several thousands coefficients are needed to achieve ERLE ≈ 20 dB.

100◦ in steps of 2◦ with equal probability for all directions. This range corresponds to the 5 dB width of the mainlobe of the uniformly weighted delay&sum beamformer at 4 kHz. The desired signal is thus attenuated by less than 5 dB at 4 kHz. While one of the loudspeakers is located at θ = 180◦ , the position of the second loudspeaker is switched every 20000 samples between θ = 0◦ and θ = 60◦ . The distance between the sources and the array center is fixed at 60 cm. The interference suppression IR and the echo 2 Joint Acoustic Echo Cancellation and Adaptive Beamforming 41 suppression ERLE are averaged over the entire data set across all variations of the loudspeaker position.

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