Secrets and Lies: Digital Security in a Networked World

A smart home is an application of ubiquitous computing in which the home environment is monitored by ambient intelligence to provide context-aware services and facilitate remote home control. This paper presents an overview of previous smart home research as well as the associated technologies. A brief discussion on the building blocks of smart homes and their interrelationships is presented. It describes collective information about sensors, multimedia devices, communication protocols, and systems, which are widely used in smart home implementation. Special algorithms from different fields and their significance are explained according to their scope of use in smart homes. This paper also presents a concrete guideline for future researchers to follow in developing a practical and sustainable smart home.

A Review of Smart Homes—Past, Present, and Future

In this paper, we survey the methods and concepts developed for the evaluation of dialogue systems. Evaluation, in and of itself, is a crucial part during the development process. Often, dialogue systems are evaluated by means of human evaluations and questionnaires. However, this tends to be very cost- and time-intensive. Thus, much work has been put into finding methods which allow a reduction in involvement of human labour. In this survey, we present the main concepts and methods. For this, we differentiate between the various classes of dialogue systems (task-oriented, conversational, and question-answering dialogue systems). We cover each class by introducing the main technologies developed for the dialogue systems and then present the evaluation methods regarding that class.

/pdf/survey-on-evaluation-methods-for-dialogue-systems-2jg1pygand.pdf

Survey on evaluation methods for dialogue systems

In this paper we survey the methods and concepts developed for the evaluation of dialogue systems. Evaluation is a crucial part during the development process. Often, dialogue systems are evaluated by means of human evaluations and questionnaires. However, this tends to be very cost and time intensive. Thus, much work has been put into finding methods, which allow to reduce the involvement of human labour. In this survey, we present the main concepts and methods. For this, we differentiate between the various classes of dialogue systems (task-oriented dialogue systems, conversational dialogue systems, and question-answering dialogue systems). We cover each class by introducing the main technologies developed for the dialogue systems and then by presenting the evaluation methods regarding this class.

/pdf/survey-on-evaluation-methods-for-dialogue-systems-hso8hcx0wy.pdf

Survey on Evaluation Methods for Dialogue Systems

Measuring perceived quality of audio-visual signals at the end-user has become an important parameter in many multimedia networks and applications. It plays a crucial role in shaping audio-visual processing, compression, transmission and systems, along with their implementation, optimization, and testing. Service providers are enacting different quality of service (QoS) solutions to issue the best quality of experience (QoE) to their customers. Thus, devising precise perception-based quality metrics will greatly help improving multimedia services over wired and wireless networks. In this paper, we provide a comprehensive survey of the works that have been carried out over recent decades in perceptual audio, video, and joint audio-visual quality assessments, describing existing methodologies in terms of requirement of a reference signal, feature extraction, feature mapping, and classification schemes. In this context, an overview of quality formation and perception, QoS, QoE as well as quality of perception is also presented. Finally, open issues and challenges in audio-visual quality assessment are highlighted and potential future research directions are discussed.

Audio-Visual Multimedia Quality Assessment: A Comprehensive Survey

A method and an apparatus for estimating a quality of an audio-video signal includes calculating audio and video quality factors from audio and video technical characteristics. An audio-video quality factors interaction is computed from an interaction between the audio and video quality factors. At least one of an audio quality, a video quality and an audio-visual quality is computed using the audio and video quality factors and the audio-video quality factors interaction.

Audio-visual quality estimation

This paper gives an overview of the assessment and evaluation methods which have been used to determine the quality of the INSPIRE smart home system. The system allows different home appliances to be controlled via speech, and consists of speech and speaker recognition, speech understanding, dialogue management, and speech output components. The performance of these components is first assessed individually, and then the entire system is evaluated in an interaction experiment with test users. Initial results of the assessment and evaluation are given, in particular with respect to the transmission channel impact on speech and speaker recognition, and the assessment of speech output for different system metaphors.

INSPIRE: Evaluation of a Smart-Home System for Infotainment Management and Device Control

With the advent of audio-visual IP clients, video telephony becomes a realistic option in many application scenarios. In order to guarantee an adequate quality to its users, providers of audio-visual telephony services need to know the impact of the audio and video transmission channel characteristics on perceived Quality of Experience (QoE) in a realistic interactive setting. For this aim, a conversational video telephony experiment was conducted where the audio and video channel settings were adjusted in a controlled way, and participants were asked about the perceived audio, video and overall quality after carrying out a conversation over the audio-visual channel. We analyze the results with respect to the impact the two modalities have, as well as with respect to the impact of the conversation scenario.

https://www.net.t-labs.tu-berlin.de/papers/BMLRM-AVCIPAQDIC-09.pdf

Audio and video channel impact on perceived audio-visual quality in different interactive contexts

http://ieeexplore.ieee.org/iel5/5759934/5759935/05759949.pdf

Estimation of the Speech Quality Dimension 'Discontinuity'

This paper gives an overview about the state of the development of various perception-based quality models. The overview addresses dimension-based modeling and models which specifically focus on quality evaluation in the presence of background noise and modeling echo impairments. Finally the quality evaluation of Text-ToSpeech (TTS) systems is discussed.

Advances in Perceptual Modeling of Speech Quality in Telecommunications

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