Recent perception experiments confirm that listeners are clearly able to distinguish between professional speaking styles, even when semantic content is removed by low-pass filtering the original speech signal. The objective of this study is to evaluate whether acoustic metrics that characterize the overall fundamental frequency contour also vary significantly according to speaking style. The a...

This paper describes an inexpensive network for news exchange between TV stations, as well as a system for news production and distribution in a highly restrictive environment developed by the authors, among others. The system was initially designed in response to the news restrictions established in Yugoslavia by Slobodan Milosevic. During this time, independent media were periodically disrupt...

This paper describes the system currently under development at CRIM whose aim is to provide real-time closed captioning of live TV broadcast news in Canadian French. This project is done in collaboration with TVA Network, a national TV broadcaster and the RQST (a Québec association which promotes the use of subtitling). The automated closed-captioning system will use CRIM’s transducer-based lar...

An aspect of the European IST SAVANT (Synchronised and Scalable Audio Visual content Across NeTworks) project is the personalisation of interactive TV systems combining broadcast programmes with additional content transmitted via the Internet. This paper describes scalability by selection of service components within the available services according to user preferences. This service adaptation ...

A recent disclosure of a presidential scandal and the following development of subsequent events have been a major news topic in South Korea. We conducted a data-driven study to examine public reactions to the scandal and their effect on the Korean media landscape. Our analysis is based on 59,224 news articles published by five popular newsrooms that received a total of 47,906,770 Likes on Face...

This paper describes our work on the development of a low latency stream-based audio pre-processing system for broadcast news using model-based techniques. It performs speech/nonspeech classification, speaker segmentation, speaker clustering, gender and background conditions classification. As a way to increase the modelling accuracy our algorithms make extensive use of Artificial Neural Networ...

The NoTube European project looks at creating the future of TV, in which the TV user will be placed back in the driver’s seat by having a personalized TV experience with rich interaction possibilities. For this, new technologies like Linked Data, Semantic Web and Social Web data analysis are applied to the TV domain. The ultimate goal of the EU project NoTube is to develop an adaptive end-to-en...

This article presents an overview of the existing acoustical corpuses suitable for broadcast news automatic transcription task in the Slovak language. The TUKE-BNews-SK database created in our department was built to support the application development for automatic broadcast news processing and spontaneous speech recognition of the Slovak language. The audio corpus is composed of 479 Slovak TV...

This paper proposes a new approach for hot event detection and summarization of news videos. The approach is mainly based on two graph algorithms: optimal matching (OM) and normalized cut (NC). Initially, OM is employed to measure the visual similarity between all pairs of events under the one-to-one mapping constraint among video shots. Then, news events are represented as a complete weighted ...

The Broadcast Scheduing Problem consists of finding an infinite schedule that broadcasts news items so as to minimize the average service time for clients requesting subsets of the news items. In the present day era, the demand for such type of a broadcasting service is very high, since it allows for efficient dissemination of data to a large number of passive clients such as in satellites, rad...