Titlebook: Microphone Arrays; Signal Processing Te Michael Brandstein,Darren Ward Book 2001 Springer-Verlag Berlin Heidelberg 2001 acoustics.filtering

HAUNT

Robust Localization in Reverberant Roomsure and as a necessary component of any general purpose speech capture system. Several algorithmic approaches are available for speech source localization with multi-channel data. This chapter summarizes the current field and comments on the general merits and shortcomings of each genre. A new local

小口啜飲

圓木可阻礙

Joint Audio-Video Signal Processing for Object Localization and Trackingtion within a complex scene. Many single-sensor techniques already exist for this purpose. They are, e.g., based on microphone arrays, video cameras, or range sensors. Since all of these sensors have their specific strengths and weaknesses, it is often advantageous to combine information from variou

全等

Microphone-Array Hearing Aidssence of background noise. This chapter first discusses implementation issues and performance metrics specific to the hearing-aid application. A review of previous work on microphone-array hearing aids includes systems with directional microphones, fixed beamformers, adaptive beamformers, physiologi

Chameleon

Small Microphone Arrays with Postfilters for Noise and Acoustic Echo Reductionts the spatial coherence of the microphone signals. In contrast to single-microphone enhancement algorithms, it does not need an explicit noise power spectral density estimate. An analysis of the mean square error reveals that the coherence properties of the microphone signals are of paramount impor

Overthrow

Acoustic Echo Cancellation for Beamforming Microphone Arrayshuman—machine speech interaction. Two techniques, each one successful on its own, are combined here to jointly achieve maximum echo cancellation in real environments: For one, acoustic echo cancellation (AEC), which has matured for single-microphone signal acquisition, and, secondly, beamforming mic

伸展

Optimal and Adaptive Microphone Arrays for Speech Input in Automobilesn tested and results from car measurements are given. Traditional methods such as linearly constrained beamforming and generalized sidelobe cancelers are discussed as well as array gain optimization methods. An in . calibrated method which gives an overall improved performance is also presented. Alg

延期

小隔間

Blind Separation of Acoustic Signals to the underlying statistical formulations of various approaches to the convolutive blind signal separation task, and comparisons to other blind inverse problems are made. Several algorithms are described, including a novel algorithm that largely maintains the spectral content of the original mixtu

設(shè)想

Robust Adaptive Beamformingsented in the form of a microphone array. Simulation results and real-time evaluation data show that a new robust adaptive microphone array achieves improved robustness against steering vector errors. Good sound quality of the output signal is also confirmed by a subjective evaluation.