The aim of the project is to develop a system for encoding good quality speech at a low bit rate. To implement this we have used most powerful speech analysis technique called Linear Predictive Coding (LPC). It uses 10 order Levinson-Durbin Recursion algorithm to accomplish the task. It provides extremely accurate estimates of speech parameters, and is relatively efficient for computation.The s...

Text summarization is a process that reduces the size of the text document. Purpose, we use part of speech tagging to recognize types of the text words. speech compression applications Compression rate is a scale to decrease the size of text summary. speech compression abstract A higher.This paper illustrates a novel method of speech compression and transmission. This method saves the transmiss...

ALISP (Automatic Language Independent Speech Processing) units are an alternative concept to using phoneme-derived units in speech processing. This article describes advances in very low bit rate coding using ALISP units. Results of speakerindependent experiments are reported and speaker clustering using vector quantization is proposed. The improvements of speech re-synthesis using Harmonic Noi...

In this paper we propose an architecture for low bit rate coding of noisy speech. The input noisy speech is decomposed into multi-resolution signal components using wavelet transform. An iterative Wiener lter-ing is used at each level of wavelet analysis to enhance speech. The system model that evolves during enhancement is processed further to get optimal parameters for the quantization. A mul...

We have seen rapid progress in high-quality compression of wideband audio signals. Today’s coding algorithms can achieve substantially more compression than was thought possible only a few years ago. In the case of audio coding with its bandwidth of 20 kHz and more, the concept of perceptual coding has paved the way for significant bit rate reductions. However, multiple codings can reveal origi...

Cortical potentials evoked with speech stimuli were investigated in ten experienced cochlear implant (CI, type Nucleus 24M) users using three different speech-coding strategies and two different speech contrasts, one vowel (/i/-/a/) and one consonant (/ba/-/da/) contrast. On average, results showed that, compared to subjects with normal hearing, P300 amplitudes were smaller; however, most laten...

In very low rate coding the aim is to accurately represent speech characteristics as efficiently as possible. High coding gains for the spectral features can be achieved through the use of temporal decomposition. Waveform interpolation coders accurately represent the excitation using characteristic waveforms (CWs) extracted at a constant rate. In this paper, the two approaches are combined into...

Background environmental noises degrade the performance of speech-processing systems (e.g. speech coding, speech recognition). By modifying the processing according to the type of background noise, the performance can be enhanced. This requires noise classification. In this work, four pattern-recognition frameworks have been used to design noise classification algorithms. Classification is done...