21,005 research outputs found

    Towards Affordable Disclosure of Spoken Word Archives

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    This paper presents and discusses ongoing work aiming at affordable disclosure of real-world spoken word archives in general, and in particular of a collection of recorded interviews with Dutch survivors of World War II concentration camp Buchenwald. Given such collections, the least we want to be able to provide is search at different levels and a flexible way of presenting results. Strategies for automatic annotation based on speech recognition – supporting e.g., within-document search– are outlined and discussed with respect to the Buchenwald interview collection. In addition, usability aspects of the spoken word search are discussed on the basis of our experiences with the online Buchenwald web portal. It is concluded that, although user feedback is generally fairly positive, automatic annotation performance is still far from satisfactory, and requires additional research

    INTEGRATING IPTV AND SOCIAL NETWORKING WITH VOICE INPUT

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    Elderly people comprise the highest proportion of television viewers. Elderly people often struggle with new technology and reject it due to complexity. We propose a system to help people keep up with certain new technologies, such as IPTV and social networks with reduced efforts. We specifically propose a system to integrate IPTV with Twitter, a social networking website with an aid of a mobile phone. The system uses speech to text technology on mobile phone, as input to reduce the difficulty involved in the interaction with Twitter, while viewing television. As speech is a more convenient and natural way of expression than text, we anticipate that people from other age groups can also benefit from the system

    An unsupervised acoustic fall detection system using source separation for sound interference suppression

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    We present a novel unsupervised fall detection system that employs the collected acoustic signals (footstep sound signals) from an elderly person’s normal activities to construct a data description model to distinguish falls from non-falls. The measured acoustic signals are initially processed with a source separation (SS) technique to remove the possible interferences from other background sound sources. Mel-frequency cepstral coeïŹƒcient (MFCC) features are next extracted from the processed signals and used to construct a data description model based on a one class support vector machine (OCSVM) method, which is ïŹnally applied to distinguish fall from non-fall sounds. Experiments on a recorded dataset conïŹrm that our proposed fall detection system can achieve better performance, especially with high level of interference from other sound sources, as compared with existing single microphone based methods

    Methods of Improving Speech Intelligibility for Listeners with Hearing Resolution Deficit

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    ABSTRACT: Methods developed for real-time time scale modification (TSM) of speech signal are presented. They are based on the non-uniform, speech rate depended SOLA algorithm (Synchronous Overlap and Add). Influence of the proposed method on the intelligibility of speech was investigated for two separate groups of listeners, i.e. hearing impaired children and elderly listeners. It was shown that for the speech with average rate equal to or higher than 6.48 vowels/s, all of the proposed methods have statistically significant impact on the improvement of speech intelligibility for hearing impaired children with reduced hearing resolution and one of the proposed methods significantly improves comprehension of speech in the group of elderly listeners with reduced hearing resolution. VIRTUAL SLIDES: http://www.diagnosticpathology.diagnomx.eu/vs/206548637176199

    Case Study on Human-Robot Interaction of the Remote-Controlled Service Robot for Elderly and Disabled Care

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    The tendency of continuous aging of the population and the increasing number of people with mobility difficulties leads to increased research in the field of Assistive Service Robotics. These robots can help with daily life tasks such as reminding to take medications, serving food and drinks, controlling home appliances and even monitoring health status. When talking about assisting people in their homes, it should be noted that they will, most of the time, have to communicate with the robot themselves and be able to manage it so that they can get the most out of the robot's services. This research is focused on different methods of remote control of a mobile robot equipped with robotic manipulator. The research investigates in detail methods based on control via gestures, voice commands, and web-based graphical user interface. The capabilities of these methods for Human-Robot Interaction (HRI) have been explored in terms of usability. In this paper, we introduce a new version of the robot Robco 19, new leap motion sensor control of the robot and a new multi-channel control system. The paper presents methodology for performing the HRI experiments from human perception and summarizes the results in applications of the investigated remote control methods in real life scenarios
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