Deutsche Telekom

About: Deutsche Telekom is a company organization based out in Welwyn Garden City, United Kingdom. It is known for research contribution in the topics: Telecommunications network & Signal. The organization has 3473 authors who have published 5208 publications receiving 65429 citations. The organization is also known as: DTAG & German Telecom.

Adaptive rateless coding under partial information

Abstract: We present novel rateless codes that generalize and outperform LT codes (with respect to overall communication and computation complexity) when some input symbols are already available at the decoding host. This case can occur in data synchronization scenarios, or where feedback is provided or can be inferred from transmission channel models. We provide analysis and experimental evidence of this improvement, and demonstrate the efficiency of the new code through implementation on highly constrained sensor devices.

Is 'not bad' good enough? Aspects of unknown voices' likability.

Abstract: From the DTAG likability database the 30 most and 30 least likable ones have been selected for further phonetic analysis and expert questionnaire. In contrast to dislikable speakers, likable ones exhibit almost no perceivable accent, command style or disfluencies and were rated very high on all six questionnaire scales. Dislikable speakers are only moderately rated. However, dislikable speakers display also lower pronunciation precision, different amounts of jitter, lower articulation rate and higher pitch, indicating that just the absence of negatively perceived characterizations is not enough to become a likable speaker.

Identifying Social Communities in Complex Communications for Network Efficiency.

Abstract: Complex communication networks, more particular Mobile Ad Hoc Networks (MANET) and Pocket Switched Networks (PSN), rely on short range radio and device mobility to transfer data across the network. These kind of mobile networks contain duality in nature: they are radio networks at the same time also human networks, and hence knowledge from social networks can be also applicable here. In this paper, we demonstrate how identifying social communities can significantly improve the forwarding efficiencies in term of delivery ratio and delivery cost. We verify our hypothesis using data from five human mobility experiments and test on two application scenarios, asynchronous messaging and publish/subscribe service.