New method for approximation of intensity and period of fundamental frequency characteristics of speech signals is proposed and incorporated in algorithm of restoration of speech signal distorted by lengthy impulsive noise or gap. The suitability of presented restoration technique is judged by evaluating quality of restored speech signal. The quality is estimated using perceptual evaluation of speech quality (PESQ) algorithm that is based on ITU recommendation P.862. Shown that proposed method is more accurate in restoration of distorted speech segment where characteristics of speech signal have non-linear change in time. 111. 3, bibl. 8 (in English; summaries in English, Russian and Lithuanian)
This paper presents the results of a perceptual test to evaluate the quality of different audio rest...
This thesis explores some of the main approaches to the problem of speech signal enhancement. Tradi...
We propose an algorithm to classify speech degradations at network endpoints and to estimate the spe...
PESQ (ITU-T recommendation P.862) has been establishedas a world standard for assessing speech quali...
One of the main challenges in the Automatic Speech Recognition (ASR) is the noise. The performance o...
Evaluating speech quality in an objective manner has been the “Holy Grail” of digital spee...
In this paper an improved objective speech quality evaluation measure is proposed that is based on a...
The goal of the work described in this thesis is to determine the effect that adjusting the short-ti...
Abstract: ITU gives P-class recommendations for the measurement of audio quality in communication sy...
This paper discusses methods for evaluating the quality of the speech signal. Briefly describe the s...
The paper addresses the problem of discrimination of homographs when a lengthy segment of an uttered...
The acoustic signal from a distance sound source in an enclosed space often produces reverberant sou...
Analogue speech signal is one of the most natural means used by humans for communication purposes. T...
[[abstract]]© 2004 Institute of Electrical and Electronics Engineers - This paper proposes a set of ...
This paper deals with the application of information extracted from AM and FM time-frequency repre...
This paper presents the results of a perceptual test to evaluate the quality of different audio rest...
This thesis explores some of the main approaches to the problem of speech signal enhancement. Tradi...
We propose an algorithm to classify speech degradations at network endpoints and to estimate the spe...
PESQ (ITU-T recommendation P.862) has been establishedas a world standard for assessing speech quali...
One of the main challenges in the Automatic Speech Recognition (ASR) is the noise. The performance o...
Evaluating speech quality in an objective manner has been the “Holy Grail” of digital spee...
In this paper an improved objective speech quality evaluation measure is proposed that is based on a...
The goal of the work described in this thesis is to determine the effect that adjusting the short-ti...
Abstract: ITU gives P-class recommendations for the measurement of audio quality in communication sy...
This paper discusses methods for evaluating the quality of the speech signal. Briefly describe the s...
The paper addresses the problem of discrimination of homographs when a lengthy segment of an uttered...
The acoustic signal from a distance sound source in an enclosed space often produces reverberant sou...
Analogue speech signal is one of the most natural means used by humans for communication purposes. T...
[[abstract]]© 2004 Institute of Electrical and Electronics Engineers - This paper proposes a set of ...
This paper deals with the application of information extracted from AM and FM time-frequency repre...
This paper presents the results of a perceptual test to evaluate the quality of different audio rest...
This thesis explores some of the main approaches to the problem of speech signal enhancement. Tradi...
We propose an algorithm to classify speech degradations at network endpoints and to estimate the spe...