Perceived speech quality is the key metric for QoS for VoIP applications. The primary aims of the study reported in the paper are to carry out a fundamental investigation of the impact of packet loss and talkers on perceived speech quality using an objective method to provide the basis for developing an artificial neural network (ANN) model to predict speech quality for VoIP. The impact of pack...

Abstract Speech enables easy human-to-human communication as well human-to-machine interaction. However, the quality of speech degrades due to background noise in environment, such drone embedded during search and rescue operations. Similarly, helicopter noise, airplane station reduce speech. enhancement algorithms resulting a crystal clear noise-free conversation. For many applications, it is ...

As a means of speech separation, time-frequency masking applies a gain function to the time-frequency representation of noisy speech. On the other hand, nonnegative matrix factorization (NMF) addresses separation by linearly combining basis vectors from speech and noise models to approximate noisy speech. This paper presents an approach for improving the perceptual quality of speech separated f...

Satisfying customers’ needs economically is one of the important aspects in mobile communication industry. Provider should cater a good and consistent quality of service as expected by the customers. Hence, it is amounts to controlling the speech quality perceived by the customers. However, to control the speech quality, the reliable measurement of the speech quality must be determined first, t...

In this paper, we propose a new quality assessment method for synthesized speech. Unlike previous approaches which uses Hidden Markov Model (HMM) trained on natural utterances as a reference model to predict the quality of synthesized speech, proposed approach uses knowledge about synthesized speech while training the model. The previous approach has been successfully applied in the quality ass...

The quality of speech, or important speech parameters such as the intelligibility, clearness or naturalness of speech, can be emphasized by signal processing. Such processing for improving speech quality can be found in telecommunication applications, e.g. mobile telephony, internet telephony or personal intercom. Blind methods are preferable over conventional because they do not require calibr...

In the context of telecommunications, speech quality is the most visible and important aspects of quality of service (QoS), and the ability to monitor and design for this quality should be a top priority. Speech quality refers to the clearness of a speaker’s voice as perceived by a listener. Its measurement offers a means of adding the human end-user’s perspective to traditional ways of perform...

The presented work aims at an instrumental method for the assessment of speech-quality of modern telecommunication networks that features two functions: the prediction of a system’s overall speech-quality as well as the analysis of the overall speechquality. The introduced method is based on the estimation of quality dimensions, each describing a particular characteristic relevant for the quali...

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...