Public telephone systems transmit speech across a limited frequency range, about 300–3400 Hz, called narrowband (NB) which results in significant reduction of quality and intelligibility speech. This paper proposes fully backward compatible novel method for bandwidth extension NB The uses adaptive data hiding technique to provide perceptually better wideband signal. spectral envelope parameters...

Dynamical variational autoencoders (DVAEs) are a class of deep generative models with latent variables, dedicated to model time series high-dimensional data. DVAEs can be considered as extensions the autoencoder (VAE) that include temporal dependencies between successive observed and/or vectors. Previous work has shown interest using over VAE for speech spectrograms modeling. Independently, bee...

Speech signal enhancement is frequently referred to as a preprocessing step to speech recognition. However, in practice, this cannot be easily accomplished since the front-end signal processing techniques and/or parameters used in these two frequently differ. We apply a signal processing technique successfully used in speech enhancement to speech recognition and show that it can perform equally...

Wavelet transform is an important tool used in many application areas. This paper proposed the analysis of noise reduction techniques which are based on wavelet transform. In this paper three noise reduction techniques based on wavelet transform are described. These methods are Wavelet Split Coefficient; Hard Thresholding and Soft Thresholding. MATLAB GUI is developed for visualization of resul...

Speech enhancement aims to improve the quality and intelligibility of speech using various techniques algorithms. The signal is always accompanied by background noise. communication processing systems must apply effective noise reduction in order extract desired from its corrupted signal. In this project we study wavelet transform, possibility employment analysis enhance remove it. We will pres...

A local adaptive algorithm for speech enhancement is presented. The algorithm is based on calculation of the rank-order statistics of an input speech signal over a moving window. The algorithm varies the size and contents of a sliding window signal as well as an estimation function employed for recovering a clean speech signal from a noisy signal. The algorithm improves the quality of a speech ...