Performance evaluation of white noise for different noisy speech signals in mobile applications

2018 ◽  
Author(s):  
Vamsha Deepa ◽  
Sujay S. ◽  
Lavanya S. ◽  
M. Mathivanan
Keyword(s):  
Performance Evaluation ◽  
White Noise ◽  
Mobile Applications ◽  
Speech Signals ◽  
Noisy Speech

Digital Watermarking Techniques for Audio and Speech Signals

2011 ◽  
pp. 132-160
Author(s):  
Aparna Gurijala ◽  
John R. Deller Jr.
Keyword(s):  
Signal Processing ◽  
Performance Evaluation ◽  
Digital Watermarking ◽  
State Of The Art ◽  
Audio Watermarking ◽  
Speech Signals ◽  
Advantages And Disadvantages ◽  
Signal Features

The main objective of this chapter is to provide an overview of existing speech and audio watermarking technology and to demonstrate the importance of signal processing for the design and evaluation of watermarking algorithms. This chapter describes the factors to be considered while designing speech and audio watermarking algorithms, including the choice of the domain and signal features for watermarking, watermarked signal fidelity, watermark robustness, data payload, security, and watermarking applications. The chapter presents several state-of-the-art speech and audio watermarking algorithms and discusses their advantages and disadvantages. The various applications of watermarking and developments in performance evaluation of watermarking algorithms are also described.

Autoregressive models for noisy speech signals

2005 ◽  
Author(s):  
Y. Grenier ◽  
K. Bry ◽  
J. Le Roux ◽  
M. Sulpis
Keyword(s):  
Autoregressive Models ◽  
Speech Signals ◽  
Noisy Speech
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