Abstract
In the previous study [Wu, Too and Lee, Mechanical Systems and Signal Processing, 24 (2010) 1431-1443], audio signal separation has been achieved through the use of time reversal method and deconvolution process. The audio signal after this separation process is recovered from the mixed signal to a signal which is about 60% in correlation with respect to the original signal. In the present study, an adaptive time reversal algorithm has been introduced in this signal separation process. In the adaptive time reversal algorithm, weighting vector is determined by introducing objective function and constrained equation in an optimization process. The simulation is performed in a condition in a reverberation room. Through this adaptive time reversal method, it is found that the audio signal can be extracted from the mixed signal to achieve about 90% in correlation with the original signal.
| Original language | English |
|---|---|
| Title of host publication | 41st International Congress and Exposition on Noise Control Engineering 2012, INTER-NOISE 2012 |
| Pages | 3591-3599 |
| Number of pages | 9 |
| Publication status | Published - 2012 Dec 1 |
| Event | 41st International Congress and Exposition on Noise Control Engineering 2012, INTER-NOISE 2012 - New York, NY, United States Duration: 2012 Aug 19 → 2012 Aug 22 |
Publication series
| Name | 41st International Congress and Exposition on Noise Control Engineering 2012, INTER-NOISE 2012 |
|---|---|
| Volume | 5 |
Other
| Other | 41st International Congress and Exposition on Noise Control Engineering 2012, INTER-NOISE 2012 |
|---|---|
| Country | United States |
| City | New York, NY |
| Period | 12-08-19 → 12-08-22 |
Fingerprint
All Science Journal Classification (ASJC) codes
- Acoustics and Ultrasonics
Cite this
}
Sound source separation by use of adaptive time reversal method. / Too, Gee-Pinn James; Wu, Bo Hsien.
41st International Congress and Exposition on Noise Control Engineering 2012, INTER-NOISE 2012. 2012. p. 3591-3599 (41st International Congress and Exposition on Noise Control Engineering 2012, INTER-NOISE 2012; Vol. 5).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
TY - GEN
T1 - Sound source separation by use of adaptive time reversal method
AU - Too, Gee-Pinn James
AU - Wu, Bo Hsien
PY - 2012/12/1
Y1 - 2012/12/1
N2 - In the previous study [Wu, Too and Lee, Mechanical Systems and Signal Processing, 24 (2010) 1431-1443], audio signal separation has been achieved through the use of time reversal method and deconvolution process. The audio signal after this separation process is recovered from the mixed signal to a signal which is about 60% in correlation with respect to the original signal. In the present study, an adaptive time reversal algorithm has been introduced in this signal separation process. In the adaptive time reversal algorithm, weighting vector is determined by introducing objective function and constrained equation in an optimization process. The simulation is performed in a condition in a reverberation room. Through this adaptive time reversal method, it is found that the audio signal can be extracted from the mixed signal to achieve about 90% in correlation with the original signal.
AB - In the previous study [Wu, Too and Lee, Mechanical Systems and Signal Processing, 24 (2010) 1431-1443], audio signal separation has been achieved through the use of time reversal method and deconvolution process. The audio signal after this separation process is recovered from the mixed signal to a signal which is about 60% in correlation with respect to the original signal. In the present study, an adaptive time reversal algorithm has been introduced in this signal separation process. In the adaptive time reversal algorithm, weighting vector is determined by introducing objective function and constrained equation in an optimization process. The simulation is performed in a condition in a reverberation room. Through this adaptive time reversal method, it is found that the audio signal can be extracted from the mixed signal to achieve about 90% in correlation with the original signal.
UR - http://www.scopus.com/inward/record.url?scp=84883593948&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84883593948&partnerID=8YFLogxK
M3 - Conference contribution
SN - 9781627485609
T3 - 41st International Congress and Exposition on Noise Control Engineering 2012, INTER-NOISE 2012
SP - 3591
EP - 3599
BT - 41st International Congress and Exposition on Noise Control Engineering 2012, INTER-NOISE 2012
ER -