ICAR Research Data Repository for Knowledge Management
Note onset detection in natural humming
DSpace at IIT Bombay
View Archive Info| Field | Value | |
| Title |
Note onset detection in natural humming
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| Creator |
PRADEEP, KP
RAO, P ROY, SD |
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| Description |
Many state-of-the-art query-by-humming (QBH) systems restrict the hummed query to be in isolated syllables for easy note segmentation. However, it is observed that users often prefer natural humming. This work addresses note onset detection for natural hum, usually considered difficult to segment. The acoustic characteristics of naturally hummed signals are studied and features useful to note onset detection are proposed. Pitch and energy features are combined to obtain superior note segmentation. Performance results on note onset detection as well as retrieval in an actual QBH system are reported.
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| Publisher |
IEEE COMPUTER SOC
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| Date |
2011-10-24T13:57:45Z
2011-12-15T09:11:38Z 2011-10-24T13:57:45Z 2011-12-15T09:11:38Z 2007 |
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| Type |
Proceedings Paper
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| Identifier |
ICCIMA 2007: INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND MULTIMEDIA APPLICATIONS, VOL IV, PROCEEDINGS,176-180
http://dx.doi.org/10.1109/ICCIMA.2007.138 http://dspace.library.iitb.ac.in/xmlui/handle/10054/15437 http://hdl.handle.net/100/2198 |
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| Source |
7th International Conference on Computational Intelligence and Multimedia Applications,Sivakasi, INDIA,DEC 13-15, 2007
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| Language |
English
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