Collaborative Annotation Platform for Audio Semantics

Tsipas N, Dimoulas CA, Kalliris GM, Papanikolaou G. Collaborative Annotation Platform for Audio Semantics. In: AES Convention 134. Audio Engineering Society; 2013. Paper 8857. Available from: https://aes.org/publications/elibrary-page/?id=16758

@inproceedings{Tsipas2013_16758,
  author = {Tsipas, Nikolaos and Dimoulas, Charalampos A. and Kalliris, George M. and Papanikolaou, George},
  title = {{Collaborative Annotation Platform for Audio Semantics}},
  booktitle = {AES Convention 134},
  note = {Paper 8857},
  year = {2013},
  month = may,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=16758}
}

TY  - CPAPER
TI  - Collaborative Annotation Platform for Audio Semantics
AU  - Tsipas, Nikolaos
AU  - Dimoulas, Charalampos A.
AU  - Kalliris, George M.
AU  - Papanikolaou, George
T2  - AES Convention 134
M1  - Paper 8857
PY  - 2013
DA  - 2013/05/06
UR  - https://aes.org/publications/elibrary-page/?id=16758
PB  - Audio Engineering Society
LA  - en
AB  - In the majority of audio classification tasks that involve supervised machine learning, ground truth samples are regularly required as training inputs. Most researchers in this field usually annotate audio content by hand and for their individual requirements. This practice resulted in the absence of solid datasets and consequently research conducted by different researchers on the same topic cannot be effectively pulled together and elaborated on. A collaborative audio annotation platform is proposed for both scientific and application oriented audio-semantic tasks. Innovation points include easy operation and interoperability, on the fly annotation while playing audio content online, efficient collaboration with feature engines and machine learning algorithms, enhanced interaction, and personalization via state of the art Web 2.0 /3.0 services.
ER  -