Time-domain beamforming and blind source separation: speech input in the car environment

Free Download

Authors:

Edition: 1

Series: Lecture Notes in Electrical Engineering 3

ISBN: 9780387688350, 0387688358

Size: 5 MB (5534760 bytes)

Pages: 225/228

File format:

Language:

Publishing Year:

Category: Tags: , , , , ,

Julien Bourgeois, Wolfgang Minker (eds.)9780387688350, 0387688358

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.


Table of contents :
Front Matter….Pages i-xii
Introduction….Pages 1-5
Source Separation as a Multichannel Linear Filtering Problem….Pages 7-25
Linearly Constrained Minimum Variance Beamforming….Pages 27-38
Implicit Adaptation Control for Beamforming….Pages 39-62
Second-Order Statistics Blind Source Separation….Pages 63-79
Implementation Issues in Blind Source Separation….Pages 82-112
On the Convergence and Stability in Second-Order Statistics BSS….Pages 113-124
Comparison of LCMV Beamforming and Second-Order Statistics BSS….Pages 125-146
Combining Second-Order Statistics BSS and LCMV Beamforming….Pages 147-172
Summary and Conclusions….Pages 173-177
Back Matter….Pages 179-225

Reviews

There are no reviews yet.

Be the first to review “Time-domain beamforming and blind source separation: speech input in the car environment”
Shopping Cart
Scroll to Top