Name
Abstract | ||
|---|---|---|
There are various kinds of sound signal analysis methods. Sinusoidal modeling, one of those signal analysis method, is based on the idea that all sound signal can be expressed as the sum of sinusoidal components of which instantaneous frequency and amplitude continuously vary with time. Sinusoidal modeling is known as a good model for sound signals, but it has been applied to the data which had only one sound source such as voiced speech or sounds of one instrument. In this paper, we applied sinusoidal modeling to polyphonic music signals and evaluated the accucary of the modeling. As a result, we found that sinusoidal modeling worked well even for polyphonic music signals as long as they do not contain noise-like sounds such as drums. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/IIH-MSP.2013.121 | IIH-MSP |
Keywords | Field | DocType |
signal analysis method,music signal,sound signal analysis method,sound signal,good model,sinusoidal modeling,various kind,sound source,sinusoidal component,polyphonic music signal,polyphonic music | Audio signal,Signal processing,Computer science,Speech recognition,Polyphony,Instantaneous phase,Amplitude | Conference |
Citations | PageRank | References |
1 | 0.48 | 5 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yuki Igarashi | 1 | 63 | 8.72 |
| Masashi Ito | 2 | 17 | 5.86 |
| Akinori Ito | 3 | 272 | 62.32 |