Watermark recovery from speech using inverse filtering and sign correlation
نویسندگان
چکیده
This paper presents an improved method for asynchronous embedding and recovery of sub-audible watermarks in speech signals. The watermark, a sequence of DTMF tones, was added to speech without knowledge of its time-varying characteristics. Watermark recovery began by implementing a synchronized zero-phase inverse filtering operation to decorrelate the speech during its voiced segments. The final step was to apply the sign correlation technique, which resulted in performance advantages over linear correlation detection. Our simulations include the effects of finite word length in the correlator.
منابع مشابه
Watermarking Resisting to Translation, Rotation, and Scaling
In this paper we propose a new watermarking scheme for digital images that allows watermark recovery even if the image has been subjected to generalized geometrical transforms. The watermark is given by a binary number and every watermark bit is represented by a two dimensional function. The functions are weighted, using a mask that is proportional to the luminance, and then modulated onto the ...
متن کاملA Robust Digital Image Watermarking Scheme Based on DWT
In this paper a wavelet-based logo watermarking scheme is presented. The logo watermark is embedded into all sub-blocks of the LLn sub-band of the transformed host image, using quantization technique. Extracted logos from all sub-blocks are merged to make the extracted watermark from distorted watermarked image. Knowing the quantization step-size, dimensions of logo and the level of wavelet tra...
متن کاملA Robust Digital Image Watermarking Scheme Based on DWT
In this paper a wavelet-based logo watermarking scheme is presented. The logo watermark is embedded into all sub-blocks of the LLn sub-band of the transformed host image, using quantization technique. Extracted logos from all sub-blocks are merged to make the extracted watermark from distorted watermarked image. Knowing the quantization step-size, dimensions of logo and the level of wavelet tra...
متن کاملHigh-rate data embedding in unvoiced speech
We propose a blind speech watermarking algorithm which allows high-rate embedding of digital side information into speech signals. We exploit the fact that the well-known LPC vocoder works very well for unvoiced speech. Using an auto-correlation based pitch tracking algorithm, a voiced/unvoiced segmentation is carried out. In the unvoiced segments, the linear prediction residual is replaced by ...
متن کاملSpeech Enhancement Using Gaussian Mixture Models, Explicit Bayesian Estimation and Wiener Filtering
Gaussian Mixture Models (GMMs) of power spectral densities of speech and noise are used with explicit Bayesian estimations in Wiener filtering of noisy speech. No assumption is made on the nature or stationarity of the noise. No voice activity detection (VAD) or any other means is employed to estimate the input SNR. The GMM mean vectors are used to form sets of over-determined system of equatio...
متن کامل