Julien Bourgeois, Wolfgang Minker

Time-Domain Beamforming and Blind Source Separation (eBook, PDF)

Speech Input in the Car Environment

• Format: PDF

Produktbeschreibung

Time-Domain Beamforming and Blind Source Separation addresses the problem of separating spontaneous multi-party speech by way of microphone arrays (beamformers) and adaptive signal processing techniques. While existing techniques require a Double-Talk Detector (DTD) that interrupts the adaptation when the target is active, the described method addresses the separation problem using continuous, uninterrupted adaptive algorithms. With this approach, algorithm development is much simpler since no detection mechanism needs to be designed and needs no threshold to be tuned. Also, performance can be improved due to the adaptation during periods of double-talk.

The authors use two techniques to achieve these results: implicit beamforming, which requires the position of the target speaker to be known; and time-domain blind-source separation (BSS), which exploits second-order statistics of the source signals. In combination, beamforming and BSS can be used to develop novel algorithms. Emphasis is placed on the development of an algorithm that combines the benefits of both approaches. The book presents experimental results obtained with real in-car microphone recordings involving simultaneous speech of the driver and the co-driver. In addition, experiments with background noise have been carried out in order to assess the robustness of the considered methods in noisy conditions.

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Produktdetails

• Verlag: Springer US
• Seitenzahl: 225
• Erscheinungstermin: 30. März 2009
• Englisch
• ISBN-13: 9780387688367
• Artikelnr.: 37287491

Autorenporträt

Time-domain Beamforming and Convolutive Blind Source Separation addresses the problem of separating spontaneous multi-party speech by way of microphone arrays (beamformers) and adaptive signal processing techniques. While existing techniques requires a Double-Talk Detector (DTD) that interrupts the adaptation when the target is active, the described method addresses the separation problem using continuous, uninterrupted adaptive algorithms. The advantage of such an approach is twofold: Firstly, the algorithm development is much simpler since no detection mechanism needs to be designed and no threshold to be tuned. Secondly, the performance can be improved due to the adaptation during periods of double-talk.

Inhaltsangabe

Account for Random Microstructure in Multiscale Models.- Multiscale Modeling of Tensile Failure in Fiber-Reinforced Composites.- Adaptive Concurrent Multi-Level Model for Multiscale Analysis of Composite Materials Including Damage.- Multiscale and Multi-Level Modeling of Composites.- A Micro-Mechanics-Based Notion of Stress for use in the Determination of Continuum-Level Mechanical Properties via Molecular Dynamics.- Multiscale Modeling and Simulation of Deformation in Nanoscale Metallic Multilayered Composites.- Multiscale Modeling of Composites Using Analytical Methods.- Nested Nonlinear Multiscale Frameworks for the Analysis of Thick-Section Composite Materials and Sructures.- Predicting Thermooxidative Degradation and Performance of High-Temperature Polymer Matrix Composites.- Modeling of Stiffness, Strength, and Structure-Property Relationship in Crosslinked Silica Aerogel.- Multiscale Modeling of the Evolution of Damage in Heterogeneous Viscoelastic Solids.- Multiscale Modeling for Damage Analysis.- Hierarchical Modeling of Deformation of Materials from the Atomic to the Continuum Scale.