Multiple fundamental frequency estimation using Gaussian smoothness and short context
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http://hdl.handle.net/10045/16174
| Title: | Multiple fundamental frequency estimation using Gaussian smoothness and short context |
|---|---|
| Authors: | Pertusa, Antonio | Iñesta, José M. |
| Research Group/s: | Reconocimiento de Formas e Inteligencia Artificial |
| Center, Department or Service: | Universidad de Alicante. Departamento de Lenguajes y Sistemas Informáticos |
| Keywords: | Acoustic signal processing | Acoustic signal analysis | Spectral analysis | Gaussian distributions | Acoustic applications |
| Knowledge Area: | Lenguajes y Sistemas Informáticos |
| Issue Date: | 2008 |
| Abstract: | A multiple fundamental frequency estimator is presented in this work. At each time frame, a set of fundamental frequencies is found in a frame by frame analysis taking into account the spectral smoothness measure described in (Pertusa & Iñesta, ICASSP 2008) and the information contained in adjacent frames. |
| Description: | Comunicación presentada en MIREX 2008 - Music Information Retrieval Evaluation eXchange, MIREX Fundamental Frequency Estimation & Tracking Contest., Philadelphia, Pennsylvania, USA (2008). |
| Sponsor: | This work is supported by the Spanish PROSEMUS project with code TIN2006-14932-C02, the Spanish research programme Consolider Ingenio 2010: MIPRCV (CSD2007-00018) and the Pascal Network of Excellence. |
| URI: | http://hdl.handle.net/10045/16174 |
| Language: | eng |
| Type: | info:eu-repo/semantics/conferenceObject |
| Peer Review: | si |
| Appears in Collections: | INV - GRFIA - Comunicaciones a Congresos, Conferencias, etc. Research funded by the EU |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
 F0_pertusa.pdf | 37,58 kB | Adobe PDF | Open Preview | |
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