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Speech Processing in Modern Communication

160,49 €*

Sofort verfügbar, Lieferzeit: 1-3 Tage

Produktnummer: 18f3d39c5d95aa43ceb7841426a395b7dc
Themengebiete: Acoustic Echo Cancellation Beamforming Dereverberation Fourier transform Signal Speech Enhancement adaptive Filter communication detection filters
Veröffentlichungsdatum: 04.02.2010
EAN: 9783642111297
Sprache: Englisch
Seitenzahl: 342
Produktart: Gebunden
Herausgeber: Benesty, Jacob Cohen, Israel Gannot, Sharon
Verlag: Springer Berlin
Untertitel: Challenges and Perspectives
Produktinformationen "Speech Processing in Modern Communication"
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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