H. Blohmer, J. Loeffler, J. Koehler, and K. U. Kaup, “Archiving of Radio Broadcast Data using Automatic Metadata Generation Methods within MediaFabric Framework,” in Proc. AES Convention 116, May 2004, Paper 6010. [Online]. Available: https://aes.org/publications/elibrary-page/?id=12701
Blohmer H, Loeffler J, Koehler J, Kaup KU. Archiving of Radio Broadcast Data using Automatic Metadata Generation Methods within MediaFabric Framework. In: AES Convention 116. Audio Engineering Society; 2004. Paper 6010. Available from: https://aes.org/publications/elibrary-page/?id=12701
@inproceedings{Blohmer2004_12701,
author = {Blohmer, Helge and Loeffler, Jobst and Koehler, Joachim and Kaup, Kai Uwe},
title = {{Archiving of Radio Broadcast Data using Automatic Metadata Generation Methods within MediaFabric Framework}},
booktitle = {AES Convention 116},
note = {Paper 6010},
year = {2004},
month = may,
publisher = {Audio Engineering Society},
url = {https://aes.org/publications/elibrary-page/?id=12701}
}
TY - CPAPER
TI - Archiving of Radio Broadcast Data using Automatic Metadata Generation Methods within MediaFabric Framework
AU - Blohmer, Helge
AU - Loeffler, Jobst
AU - Koehler, Joachim
AU - Kaup, Kai Uwe
T2 - AES Convention 116
M1 - Paper 6010
PY - 2004
DA - 2004/05/06
UR - https://aes.org/publications/elibrary-page/?id=12701
PB - Audio Engineering Society
LA - en
AB - This paper describes methods for automatic extraction of descriptive metadata for audio material and the workflow of archiving. These new algorithms and archiving tools developed at Fraunhofer IMK are to be directly integrated into MediaFabric, a commercially available radio broadcasting framework. Processing steps are based on pattern recognition algorithms and include speech/non-speech detection, speaker change detection and classification, jingle and advertising recognition. The extracted audio structure is described as a hierarchical representation of segment nodes annotated with suitable metadata. An extended retrieval application allows interactive display and navigation of the audio structure. A novel approach to keyword search based on a syllable representation of audio material is used for effective retrieval within the digital radio archive.
ER -