Titlebook: Speech Processing in Modern Communication; Challenges and Persp Israel Cohen,Jacob Benesty,Sharon Gannot Book 2010 Springer-Verlag Berlin H

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Codebook Approaches for Single Sensor Speech/Music Separation,xtures. Approaches related in this study are all based on a full (Bayesian) probabilistic framework for both source modeling and source estimation. We first present a review of several codebook approaches for single sensor source separation as well as several attempts to enhance the algorithms. All

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Extraction of Desired Speech Signals in Multiple-Speaker Reverberant Noisy Environments,signals. The desired signals may also be subject to distortion imposed by the acoustic room impulse response (RIR). In this chapter, a linearly constrained minimum variance (LCMV) beamformer is designed for extracting the desired signals from multi-microphone measurements. The beamformer satisfies t

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Steered Beamforming Approaches for Acoustic Source Localization,n of the acoustic source. Two-stage approaches based on the timedifference- of-arrival (TDOA) are computationally simple but lack robustness in practical environments. This chapter presents a family of broadband source localization algorithms based on parameterized spatiotemporal correlation, includ

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1866-2609 topics.Modern communication devices, such as mobile phones, teleconferencing systems, VoIP, etc., are often used in noisy and reverberant environments. Therefore, signals picked up by the microphones from telecommunication devices contain not only the desired near-end speech signal, but also interf

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Identification of the Relative Transfer Function between Sensors in the Short-Time Fourier Transformodeling approach for a linear convolution in the STFT domain as a convolution transfer function (CTF). The new approach is associated with larger model complexity and enables better representation of the signals and systems in the STFT domain. Then, we employ RTF identification algorithms based on the new model, and demonstrate improved results.

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