Speech Enhancement

We live in a noisy world! In all applications (telecommunications, hands-free communications, recording, human-machine interfaces, etc) that require at least one microphone, the signal of interest is usually contaminated by noise and reverberation. As a result, the microphone signal has to be "...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Benesty, Jacob (Συγγραφέας), Makino, Shoji (Συγγραφέας), Chen, Jingdong (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2005.
Σειρά:Signals and Communication Technology
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • Study of the Wiener Filter for Noise Reduction
  • Statistical Methods for the Enhancement of Noisy Speech
  • Single- and Multi-Microphone Spectral Amplitude Estimation Using a Super-Gaussian Speech Model
  • From Volatility Modeling of Financial Time-Series to Stochastic Modeling and Enhancement of Speech Signals
  • Single-Microphone Noise Suppression for 3G Handsets Based on Weighted Noise Estimation
  • Signal Subspace Techniques for Speech Enhancement
  • Speech Enhancement: Application of the Kalman Filter in the Estimate-Maximize (EM) Framework
  • Speech Distortion Weighted Multichannel Wiener Filtering Techniques for Noise Reduction
  • Adaptive Microphone Array Employing Spatial Quadratic Soft Constraints and Spectral Shaping
  • Single-Microphone Blind Dereverberation
  • Separation and Dereverberation of Speech Signals with Multiple Microphones
  • Frequency-Domain Blind Source Separation
  • Subband Based Blind Source Separation
  • Real-Time Blind Source Separation for Moving Speech Signals
  • Separation of Speech by Computational Auditory Scene Analysis.