Abstract
In this work, we propose a novel scheme to re-estimate the linear predictive parameters in sparse speech coding. The idea is to estimate the optimal truncated impulse response that creates the given sparse coded residual without distortion. An all-pole approximation of this impulse response is then found using a least square approximation. The all-pole approximation is a stable linear predictor that allows a more efficient reconstruction of the segment of speech. The effectiveness of the algorithm is proved in the experimental analysis.
| Original language | English |
|---|---|
| Title of host publication | Conference Record - Asilomar Conference on Signals, Systems and Computers |
| Pages | 1770-1773 |
| Number of pages | 4 |
| DOIs | |
| State | Published - Dec 1 2009 |
| Event | 43rd Asilomar Conference on Signals, Systems and Computers - Pacific Grove, CA, United States Duration: Nov 1 2009 → Nov 4 2009 |
Other
| Other | 43rd Asilomar Conference on Signals, Systems and Computers |
|---|---|
| Country | United States |
| City | Pacific Grove, CA |
| Period | 11/1/09 → 11/4/09 |
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ASJC Scopus subject areas
- Computer Networks and Communications
- Signal Processing
Cite this
Re-estimation of linear predictive parameters in sparse linear prediction. / Giacobello, Daniele; Murthi, Manohar; Christensen, Mads Græsbøll; Jensen, Søren Holdt; Moonen, Marc.
Conference Record - Asilomar Conference on Signals, Systems and Computers. 2009. p. 1770-1773 5470202.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Re-estimation of linear predictive parameters in sparse linear prediction
AU - Giacobello, Daniele
AU - Murthi, Manohar
AU - Christensen, Mads Græsbøll
AU - Jensen, Søren Holdt
AU - Moonen, Marc
PY - 2009/12/1
Y1 - 2009/12/1
N2 - In this work, we propose a novel scheme to re-estimate the linear predictive parameters in sparse speech coding. The idea is to estimate the optimal truncated impulse response that creates the given sparse coded residual without distortion. An all-pole approximation of this impulse response is then found using a least square approximation. The all-pole approximation is a stable linear predictor that allows a more efficient reconstruction of the segment of speech. The effectiveness of the algorithm is proved in the experimental analysis.
AB - In this work, we propose a novel scheme to re-estimate the linear predictive parameters in sparse speech coding. The idea is to estimate the optimal truncated impulse response that creates the given sparse coded residual without distortion. An all-pole approximation of this impulse response is then found using a least square approximation. The all-pole approximation is a stable linear predictor that allows a more efficient reconstruction of the segment of speech. The effectiveness of the algorithm is proved in the experimental analysis.
UR - http://www.scopus.com/inward/record.url?scp=77953835048&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=77953835048&partnerID=8YFLogxK
U2 - 10.1109/ACSSC.2009.5470202
DO - 10.1109/ACSSC.2009.5470202
M3 - Conference contribution
AN - SCOPUS:77953835048
SN - 9781424458271
SP - 1770
EP - 1773
BT - Conference Record - Asilomar Conference on Signals, Systems and Computers
ER -