Evaluation of Query-by-Humming Systems using a Random Melody Database

Batke JM, Eisenberg G. Evaluation of Query-by-Humming Systems using a Random Melody Database. In: AES Convention 120. Audio Engineering Society; 2006. Paper 6727. Available from: https://aes.org/publications/elibrary-page/?id=13531

@inproceedings{Batke2006_13531,
  author = {Batke, Jan-Mark and Eisenberg, Gunnar},
  title = {{Evaluation of Query-by-Humming Systems using a Random Melody Database}},
  booktitle = {AES Convention 120},
  note = {Paper 6727},
  year = {2006},
  month = may,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=13531}
}

TY  - CPAPER
TI  - Evaluation of Query-by-Humming Systems using a Random Melody Database
AU  - Batke, Jan-Mark
AU  - Eisenberg, Gunnar
T2  - AES Convention 120
M1  - Paper 6727
PY  - 2006
DA  - 2006/05/06
UR  - https://aes.org/publications/elibrary-page/?id=13531
PB  - Audio Engineering Society
LA  - en
AB  - The performance of melody retrieval using a query-by-humming (QBH) system depends on different parameters. For the query, parameters like length of the query and possibly contained errors influence the success of the retrieval. But also the size of the melody database inside the QBH-system has a certain impact on the query. This paper describes how the statistical parameters of a random melody database are modelled to get the same behaviour like a database containing authentic melodies. Databases containing random melodies are a testing facility to QBH-systems.
ER  -