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Papers by Miroslava Mrvova

Communications - Scientific letters of the University of Zilina, 2011

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Communications - Scientific letters of the University of Zilina, 2014

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Acta Acustica united with Acustica, 2009

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Proceedings of …, 2008

Page 1. A systematic study of PESQ's behavior in simulated VoIP environment (from re... more Page 1. A systematic study of PESQ's behavior in simulated VoIP environment (from reference signal characteristics perspective) Peter Počta1, Miroslava Mrvová1, Peter Kortiš1, Peter Palúch2, Martin Vaculík1 1Dept. of Telecommunications ...

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ABSTRACT As proven by many scientific papers, the time-varying impairments play crucial role in V... more ABSTRACT As proven by many scientific papers, the time-varying impairments play crucial role in VoIP applications. On the other hand, the reference signals used for speech quality assessment are characterized by following parameters: length of the signal and speech activity parameter. Despite the facts that activity parameter is one of the important characteristics of reference signals for objective speech quality measurements defined in Section 7 of the ITU-T Recommendation P.862.3 (also considered in brand new ITU-T Recommendation P.863) and has been proven as crucial input parameter for subjective and objective speech quality assessment in presence of packet loss, the exact values of this parameter with regard to different conversation scenarios are still missing. This study addresses this shortcoming by deriving a formula for computing activity parameter of arbitrary conversation scenario. A serviceability of the proposed formula is demonstrated. Finally, other issues related to creating the reference speech samples for speech quality assessment (number of speech utterances and sample pattern, etc.) and potential application areas of the derived formula are pointed out.

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2013 23rd International Conference Radioelektronika (RADIOELEKTRONIKA), 2013

ABSTRACT In this paper, Genetic Programming (GP) based on symbolic regression approach [1] was us... more ABSTRACT In this paper, Genetic Programming (GP) based on symbolic regression approach [1] was used to design parameter-based speech quality estimation models. In particular, the models have been designed to estimate a quality of synthesized speech transmitted over IP channel. In principle, the idea is to apply an appropriate set of quality-affecting parameters (e.g. parameters characterizing packet loss process, speech codec type, type of synthesized speech) as an input of the designed estimation models. Those quality-affecting parameters together with the corresponding speech quality values predicted by PESQ (Perceptual Evaluation of Speech Quality) [2] are used in training process of the designed models in order to define a relationship between the used quality-affecting parameters and the corresponding speech quality values. Regarding the usage of PESQ as a source of speech quality values, the experiments presented in [3] have proven that PESQ is able to provide accurate predictions of quality of synthesized speech impaired by the impairments used in this study. This study has shown that all designed models provide accurate estimations of quality of synthesized speech transmitted over IP network. An accuracy of the estimations was quantified in terms of the Pearson correlation coefficient R, the respective root mean square error (rmse) and epsilon-insensitive root mean square error (rmse*). The developed models can be useful for network operators and service providers in planning phase or early-development stage of telecommunication services based on synthesized speech.

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The International Conference on Digital Technologies 2013, 2013

ABSTRACT In this article, an evolutionary algorithm known as Genetic Programming (GP) was used to... more ABSTRACT In this article, an evolutionary algorithm known as Genetic Programming (GP) was used to design a parametric speech quality estimation model. Nowadays, GP is one of the machine learning techniques employed in a quality estimation process. In principle, the set of quality-affecting parameters was used as an input to the designed estimation model based on GP approach in order to estimate a quality of synthesized speech transmitted over IP channel (VoIP environment). The performance results obtained by the designed estimation model have confirmed the good properties of genetic programming, namely good accuracy and generalization ability; this makes it to be perspective approach to a quality estimation of this type of speech in the corresponding environment. The developed model can be helpful for network operators and service providers implementing it in planning phase or early-development stage of telecommunication services based on synthesized speech.

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MESAQIN 2009, Jun 2009

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Radioelektronika 2013, Apr 2013

In this paper, Genetic Programming (GP) based on symbolic regression approach [1] was used to des... more In this paper, Genetic Programming (GP) based on symbolic regression approach [1] was used to design parameter-based speech quality estimation models. In particular, the models have been designed to estimate a quality of synthesized speech transmitted over IP channel. In principle, the idea is to apply an appropriate set of quality-affecting parameters (e.g. parameters characterizing packet loss process, speech codec type, type of synthesized speech) as an input of the designed estimation models. Those quality-affecting parameters together with the corresponding speech quality values predicted by PESQ (Perceptual Evaluation of Speech Quality) [2] are used in training process of the designed models in order to define a relationship between the used quality-affecting parameters and the corresponding speech quality values. Regarding the usage of PESQ as a source of speech quality values, the experiments presented in [3] have proven that PESQ is able to provide accurate predictions of quality of synthesized speech impaired by the impairments used in this study. This study has shown that all designed models provide accurate estimations of quality of synthesized speech transmitted over IP network. An accuracy of the estimations was quantified in terms of the Pearson correlation coefficient R, the respective root mean square error (rmse) and epsilon-insensitive root mean square error (rmse*). The developed models can be useful for network operators and service providers in planning phase or early-development stage of telecommunication services based on synthesized speech.

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Digital Technologies (DT 2013), May 2013

In this article, an evolutionary algorithm known as Genetic Programming (GP) was used to design a... more In this article, an evolutionary algorithm known as Genetic Programming (GP) was used to design a parametric speech quality estimation model. Nowadays, GP is one of the machine learning techniques employed in a quality estimation process. In principle, the set of quality-affecting parameters was used as an input to the designed estimation model based on GP approach in order to estimate a quality of synthesized speech transmitted over IP channel (VoIP environment). The performance results obtained by the designed estimation model have confirmed the good properties of genetic programming, namely good accuracy and generalization ability; this makes it to be perspective approach to a quality estimation of this type of speech in the corresponding environment. The developed model can be helpful for network operators and service providers implementing it in planning phase or early-development stage of telecommunication services based on synthesized speech.

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MESAQIN 2011, Jun 2011

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MESAQIN 2008, Jun 2008

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Communications - Scientific letters of the University of Zilina, 2011

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Communications - Scientific letters of the University of Zilina, 2014

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Acta Acustica united with Acustica, 2009

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Proceedings of …, 2008

Page 1. A systematic study of PESQ's behavior in simulated VoIP environment (from re... more Page 1. A systematic study of PESQ's behavior in simulated VoIP environment (from reference signal characteristics perspective) Peter Počta1, Miroslava Mrvová1, Peter Kortiš1, Peter Palúch2, Martin Vaculík1 1Dept. of Telecommunications ...

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ABSTRACT As proven by many scientific papers, the time-varying impairments play crucial role in V... more ABSTRACT As proven by many scientific papers, the time-varying impairments play crucial role in VoIP applications. On the other hand, the reference signals used for speech quality assessment are characterized by following parameters: length of the signal and speech activity parameter. Despite the facts that activity parameter is one of the important characteristics of reference signals for objective speech quality measurements defined in Section 7 of the ITU-T Recommendation P.862.3 (also considered in brand new ITU-T Recommendation P.863) and has been proven as crucial input parameter for subjective and objective speech quality assessment in presence of packet loss, the exact values of this parameter with regard to different conversation scenarios are still missing. This study addresses this shortcoming by deriving a formula for computing activity parameter of arbitrary conversation scenario. A serviceability of the proposed formula is demonstrated. Finally, other issues related to creating the reference speech samples for speech quality assessment (number of speech utterances and sample pattern, etc.) and potential application areas of the derived formula are pointed out.

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2013 23rd International Conference Radioelektronika (RADIOELEKTRONIKA), 2013

ABSTRACT In this paper, Genetic Programming (GP) based on symbolic regression approach [1] was us... more ABSTRACT In this paper, Genetic Programming (GP) based on symbolic regression approach [1] was used to design parameter-based speech quality estimation models. In particular, the models have been designed to estimate a quality of synthesized speech transmitted over IP channel. In principle, the idea is to apply an appropriate set of quality-affecting parameters (e.g. parameters characterizing packet loss process, speech codec type, type of synthesized speech) as an input of the designed estimation models. Those quality-affecting parameters together with the corresponding speech quality values predicted by PESQ (Perceptual Evaluation of Speech Quality) [2] are used in training process of the designed models in order to define a relationship between the used quality-affecting parameters and the corresponding speech quality values. Regarding the usage of PESQ as a source of speech quality values, the experiments presented in [3] have proven that PESQ is able to provide accurate predictions of quality of synthesized speech impaired by the impairments used in this study. This study has shown that all designed models provide accurate estimations of quality of synthesized speech transmitted over IP network. An accuracy of the estimations was quantified in terms of the Pearson correlation coefficient R, the respective root mean square error (rmse) and epsilon-insensitive root mean square error (rmse*). The developed models can be useful for network operators and service providers in planning phase or early-development stage of telecommunication services based on synthesized speech.

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The International Conference on Digital Technologies 2013, 2013

ABSTRACT In this article, an evolutionary algorithm known as Genetic Programming (GP) was used to... more ABSTRACT In this article, an evolutionary algorithm known as Genetic Programming (GP) was used to design a parametric speech quality estimation model. Nowadays, GP is one of the machine learning techniques employed in a quality estimation process. In principle, the set of quality-affecting parameters was used as an input to the designed estimation model based on GP approach in order to estimate a quality of synthesized speech transmitted over IP channel (VoIP environment). The performance results obtained by the designed estimation model have confirmed the good properties of genetic programming, namely good accuracy and generalization ability; this makes it to be perspective approach to a quality estimation of this type of speech in the corresponding environment. The developed model can be helpful for network operators and service providers implementing it in planning phase or early-development stage of telecommunication services based on synthesized speech.

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MESAQIN 2009, Jun 2009

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Radioelektronika 2013, Apr 2013

In this paper, Genetic Programming (GP) based on symbolic regression approach [1] was used to des... more In this paper, Genetic Programming (GP) based on symbolic regression approach [1] was used to design parameter-based speech quality estimation models. In particular, the models have been designed to estimate a quality of synthesized speech transmitted over IP channel. In principle, the idea is to apply an appropriate set of quality-affecting parameters (e.g. parameters characterizing packet loss process, speech codec type, type of synthesized speech) as an input of the designed estimation models. Those quality-affecting parameters together with the corresponding speech quality values predicted by PESQ (Perceptual Evaluation of Speech Quality) [2] are used in training process of the designed models in order to define a relationship between the used quality-affecting parameters and the corresponding speech quality values. Regarding the usage of PESQ as a source of speech quality values, the experiments presented in [3] have proven that PESQ is able to provide accurate predictions of quality of synthesized speech impaired by the impairments used in this study. This study has shown that all designed models provide accurate estimations of quality of synthesized speech transmitted over IP network. An accuracy of the estimations was quantified in terms of the Pearson correlation coefficient R, the respective root mean square error (rmse) and epsilon-insensitive root mean square error (rmse*). The developed models can be useful for network operators and service providers in planning phase or early-development stage of telecommunication services based on synthesized speech.

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Digital Technologies (DT 2013), May 2013

In this article, an evolutionary algorithm known as Genetic Programming (GP) was used to design a... more In this article, an evolutionary algorithm known as Genetic Programming (GP) was used to design a parametric speech quality estimation model. Nowadays, GP is one of the machine learning techniques employed in a quality estimation process. In principle, the set of quality-affecting parameters was used as an input to the designed estimation model based on GP approach in order to estimate a quality of synthesized speech transmitted over IP channel (VoIP environment). The performance results obtained by the designed estimation model have confirmed the good properties of genetic programming, namely good accuracy and generalization ability; this makes it to be perspective approach to a quality estimation of this type of speech in the corresponding environment. The developed model can be helpful for network operators and service providers implementing it in planning phase or early-development stage of telecommunication services based on synthesized speech.

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MESAQIN 2011, Jun 2011

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MESAQIN 2008, Jun 2008

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