Segmentation and Discovery of Podcast Content

Hargreaves S, Landone C, Sandler M, Kudumakis P. Segmentation and Discovery of Podcast Content. In: AES Convention 128. Audio Engineering Society; 2010. Paper 8115. Available from: https://aes.org/publications/elibrary-page/?id=15412

@inproceedings{Hargreaves2010_15412,
  author = {Hargreaves, Steven and Landone, Chris and Sandler, Mark and Kudumakis, Panos},
  title = {{Segmentation and Discovery of Podcast Content}},
  booktitle = {AES Convention 128},
  note = {Paper 8115},
  year = {2010},
  month = may,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=15412}
}

TY  - CPAPER
TI  - Segmentation and Discovery of Podcast Content
AU  - Hargreaves, Steven
AU  - Landone, Chris
AU  - Sandler, Mark
AU  - Kudumakis, Panos
T2  - AES Convention 128
M1  - Paper 8115
PY  - 2010
DA  - 2010/05/06
UR  - https://aes.org/publications/elibrary-page/?id=15412
PB  - Audio Engineering Society
LA  - en
AB  - With ever increasing amounts of radio broadcast material being made available as podcasts, sophisticated methods of enabling the listener to quickly locate material matching their own personal tastes become essential. Given the ability to segment a podcast which may be in the order of one or two hours duration into individual song previews, the time the listener spends searching for material of interest is minimised. This paper investigates the effectiveness of applying multiple feature extraction techniques to podcast segmentation, and describes how such techniques could be exploited by a vast number of digital media delivery platforms in a commercial cloud-based radio recommendation and summarisation service.
ER  -