speaker verification from talking a few words of sentences has many applications. many methods as dtw, hmm, vq and mq can be used for speaker verification. we applied mq for its precise, reliable and robust performance with computational simplicity. we also used pitch frequency and log gain contour for further improvement of the system performance.

Existing speech to translation systems heavily rely on the text of target language: they usually translate source language either and then synthesize from text, or directly with for auxiliary training. However, those methods cannot be applied unwritten languages, which have no written phoneme available. In this paper, we develop a system named as UWSpeech, converts into discrete tokens converte...

In this paper, we propose a reversible data hiding scheme for the encrypted images (RDHEI) based on vector quantization (VQ) prediction and parametric binary tree labeling (PBTL). VQ compression is lossy image method, difference between original decompressed small when length of codebook sufficient. Thus, can be applied as tool pixel value prediction. Based prediction, PBTL method to label embe...

In this paper, we propose a new image compression algorithm based on Kohonen self-organized maps. The compression is based on vector quantization (VQ) of the DCT coefficients of image blocks, where the VQ is implemented by a Kohonen network. At low bitrates, our proposed method performs better than an earlier compression scheme developed by Amerijckx et al. [1] and shows better subjective resul...

Due to latest advancements in the field of remote sensing, it becomes easier acquire high quality images by use various satellites along with sensing components. But massive quantity data poses a challenging issue store and effectively transmit images. Therefore, image compression techniques can be utilized process In this aspect, vector quantization (VQ) employed for widely applied VQ approach...

Several fragile watermarking schemes presented in the literature are either vulnerable to vector quantization (VQ) counterfeiting attacks or sacrifice localization accuracy to improve security. Using a hierarchical structure, we propose a method that thwarts the VQ attack while sustaining the superior localization properties of blockwise independent watermarking methods. In particular, we propo...

Robust vector quantization of LSF parameters at a low bit rate is essential for voice coders operating below 5 Kbps. A novel aspect of the proposed technique is the use of decorrelated residual LSF vectors from speech mode based backward prediction along with a multi-stage VQ design. Rates as low as 12 bits per 20 ms speech frame for the stationary voiced speech mode and 22 bits/frame for unvoi...

The vector quantization (VQ) concept is widely used in many applications. Side-match vector quantization (SMVQ) is a VQ-based image compression method that offers significantly improved performance of compression rate while maintaining the image quality of decompressed images. To eliminate distortion propagation, SMVQ requires one extra bit to serve as an indicator identifying which blocks are ...

Approximation Result. Consider an abstract symmetric and continuous bilinear form a(·, ·) : V × V 7→ IR, as well as a collection of linear functionals {fl}l=1 ⊂ V ′, where V ⊂ H and H is a Hilbert space with norm ‖ · ‖. We make the following assumptions on a(·, ·), V , H, ‖ · ‖ and {fl}: A1. a(·, ·) is positive semi-definite and defines a semi-norm | · |a on V , i.e. |v|a = a(v, v) ≥ 0, for all...

Vector Quantization (VQ) is an efficient image compression approach. Among the different existing algorithms, Kohonen's Self Organizing Feature Map (SOFM) is one of the wellknown method for VQ. It allows efficient codebooks design with interesting topological properties to be performed. Furthermore, use of VQ for compression delivers basic information on the image content in the same process. H...