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6 Beamforming Combined with Multi-channel Acoustic Echo Cancellation
For audio signal acquisition, beamforming microphone arrays can be efficiently used for enhancing a desired signal while suppressing...
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4 Optimum Beamforming for Wideband Non-stationary Signals
Array processing techniques strive for extraction of maximum information from a propagating wave field using groups of sensors, which are located at...
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B Experimental Setups and Acoustic Environments
In this chapter, the experimental setup and the acoustic environments are described, which are used in this work for illustrating the properties of...
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Fingerprint Recognition with Modular Neural Networks and Fuzzy Measures
We describe in this chapter a new approach for fingerprint recognition using modular neural networks with a fuzzy logic method for response...
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Modular Neural Networks
We describe in this chapter the basic concepts, theory and algorithms of modular and ensemble neural networks. We will also give particular attention...
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Type-1 Fuzzy Logic
This chapter introduces the basic concepts, notation, and basic operations for the type-1 fuzzy sets that will be needed in the following chapters....
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Human Recognition using Face, Fingerprint and Voice
We describe in this chapter a new approach for human recognition using as information the face, fingerprint, and voice of a person. We have described...
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Voice Recognition with Neural Networks, Fuzzy Logic and Genetic Algorithms
We describe in this chapter the use of neural networks, fuzzy logic and genetic algorithms for voice recognition. In particular, we consider the case...
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Clustering with Intelligent Techniques
Cluster analysis is a technique for grou** data and finding structures in data. The most common application of clustering methods is to partition a...
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5 A Practical Audio Acquisition System Using a Robust GSC (RGSC)
In the preceding chapter, we have seen that data-dependent beamformers can be efficiently realized in GSC structures. However, GSCs, or more general...
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3 Optimum Linear Filtering
In this chapter, we introduce the concept of optimum linear filtering for multiple-input multiple-output (MIMO) digital systems for solving...
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8 Summary and Conclusions
Convenient human/machine interaction requires acoustic front-ends which allow seamless and hands-free audio communication. For suppressing...
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A Estimation of Signal-to-Interference-Plus-Noise Ratios (SINRs) Exploiting Non-stationarity
Our discussion about optimum data-dependent beamforming has shown that the second-order statistics of the sensor signals w.r.t. the desired signal...
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C Notations
The following conventions are used: Lower case boldface denotes vectors, upper case boldface denotes matrices. The subscript (⋅) f...
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7 Efficient Real-Time Realization of an Acoustic Human/Machine Front-End
In the previous chapters, we discussed options for data-dependent optimum beamforming for acoustic human/machine front-ends on cost-sensitive...
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2 Space-Time Signals
In single-channel techniques for hands-free acoustic human/machine interfaces, we deal with waveforms which are functions of the continuous time. The...
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1 Introduction
With a continuously increasing desire for natural and comfortable human/machine interaction, the acoustic interface of any terminal for multimedia or...
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Unsupervised Learning Neural Networks
This chapter introduces the basic concepts and notation of unsupervised learning neural networks. Unsupervised networks are useful for analyzing data...
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Evolutionary Computing for Architecture Optimization
This chapter introduces the basic concepts and notation of evolutionary algorithms, which are basic search methodologies that can be used for...
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Introduction to Pattern Recognition with Intelligent Systems
We describe in this book, new methods for intelligent pattern recognition using soft computing techniques. Soft Computing (SC) consists of several...