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 ebook, a world staff of hugely certified specialists treats vital subject matters in acoustic echo and noise regulate and reviews the most recent advancements. tools for reinforcing the standard of speech signs are gaining growing to be consciousness in universities and in business improvement laboratories.
This ebook is equipped in 5 components: half I supplies a brief creation to acoustic echo and noise keep an eye on. half II bargains with multi-microphone processing. partially III, complicated equipment for either linear and nonlinear echo cancellation are provided, and strategies for clever keep watch over of hands-free phones are brought. half IV is dedicated to noise relief techniques. An in-depth therapy of traditional and of complex tools is given, through a version dependent strategy utilizing Kalman filters. eventually, partially V, chosen functions of acoustic echo and noise regulate in addition to speech and audio processing as a rule are defined. themes corresponding 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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Additional resources for Topics in Acoustic Echo and Noise Control: Selected Methods for the Cancellation of Acoustical Echoes, the Reduction of Background Noise, and Speech Processing
Example text
The reference loudspeaker signals x(n) can thus be interpreted as additional input signals for the adaptive beamformer. This idea was first used in [21] for a combination of acoustic echo cancellation and multichannel noise-reduction based on the generalized singular value decomposition (GSVD). In [63], a similar approach is used for a combination of blind source separation with acoustic echo cancellation. 2) where s(n), b(n), and d(n) are zero-mean and mutually uncorrelated. The output signal e(n) of the combined system can be written as a function of 28 W.
It applies the solution of the acoustic wave equation by Green’s function. Signal processing methods to derive the input signals for the loudspeakers of the wave field synthesis system are reported. Exemplary implementations close this contribution. Chapter 14 deals with so called in-car communication systems. They help to ease communication between passengers in a car. Such a system is especially helpful for passengers seated in the back of the car to understand those seated in the front. The problem that has to be solved is comparable to the one present with public address systems where the electro-acoustic loop is closed within the enclosure and where only very short processing delays are tolerable.
To overcome the problems of these structures in environments with frequently changing echo paths, frequent double talk, interference, and background noise, we study here the joint optimization of adaptive beamforming and acoustic echo cancellation. We focus on an LCLSE optimization criterion to derive the beamformer weight vector. MMSE/LSE and MAP criteria are not considered since they require estimates of the interference spectra at the microphones, which are difficult to obtain for mixtures of non-stationary signals.