State-of-art automatic analysis tools for personal audio content management are discussed in this paper. Bayesian networks based audio classification algorithm provides classification into four main audio classes and serves as a first step for other subsequent analysis tools. For speech analysis we propose an improved BIC based speaker segmentation and clustering algorithm and a combined gender and emotion detection algorithm utilizing prosodic features. For the other main classes it is often hard to device any general and well functional pre-categorization that would fit the unforeseeable types of user recorded data.
Users are frustrated by the current experience of browsing, downloading, and exchanging
files in low-bandwidth networks, such as ad hoc wireless networks. One improvement to this
experience is to let users first locally interact with file thumbnails - graphical summaries
of file contents - and fetch complete files only if necessary. These thumbnails can be
sent quickly over the network and augment traditional metadata, such as file names and
ownership.
Mobile RFID services for Internet of Things can be created by using RFID as an enabling technology on mobile devices. Humans, devices and things are the content providers and users of these services. Mobile RFID services can be provided either on mobile devices as stand-alone services or combining with end-to-end systems. When different service solutions are considered, there are more than one possible architecture solution in the network, mobile and the back-end server areas. Combining the solutions wisely by applying the software architecture and engineering principles, a combined solution can be formulated for certain application specific use cases. This paper illustrates these ideas to create some reference solution models.
Nokia to work with two Swiss Federal Institutes of technology on research and open Nokia Research Laboratory in Lausanne, Switzerland
BBC's technical correspondent Darren Waters recently visited NRC's Palo Alto site, where he was introduced to some of the latest research projects showcasing Nokia's vision of mobile technology in the next five to seven years. The visit resulted in an article that presents his overiview of the ways Nokia research is bridging the physical and digital worlds, building possibilities to analyze data such as traffic information from GPS-enabled multimedia computers and conceptualizing where nano-scale technology might lead innovation in future handsets.
Nokia Research Center demonstrates Mobile Process Engine at EuroShop 2008(23rd to 27th February) in joint collaboration with UPM Kymmene and IBM
