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 interferences such as the
background noise, far-end echoes produced by the loudspeaker, and
reverberations of the desired source. These interferences degrade
the fidelity and intelligibility of the near-end speech in
human-to-human telecommunications and decrease the performance of
human-to-machine interfaces (i.e., automatic speech recognition
systems).
The proposed book deals with the fundamental challenges of
speech processing in modern communication, including speech
enhancement, interference suppression, acoustic echo cancellation,
relative transfer function identification, source localization,
dereverberation, and beamforming in reverberant environments.
Enhancement of speech signals is necessary whenever the source
signal is corrupted by noise. In highly non-stationary noise
environments, noise transients, and interferences may be extremely
annoying. Acoustic echo cancellation is used to eliminate the
acoustic coupling between the loudspeaker and the microphone of a
communication device. Identification of the relative transfer
function between sensors in response to a desired speech signal
enables to derive a reference noise signal for suppressing
directional or coherent noise sources. Source localization,
dereverberation, and beamforming in reverberant environments
further enable to increase the intelligibility of the near-end
speech signal.
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