You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Mendeley readers
Chapter title |
On Homotopy Continuation for Speech Restoration
|
---|---|
Chapter number | 14 |
Book title |
Computational Topology in Image Context
|
Published in |
Computational topology in image context : 6th International Workshop, CTIC 2016, Marseille, France, June 15-17, 2016, Proceedings. CTIC (Conference) (6th : 2016 : Marseille, France), June 2016
|
DOI | 10.1007/978-3-319-39441-1_14 |
Pubmed ID | |
Book ISBNs |
978-3-31-939440-4, 978-3-31-939441-1
|
Authors |
Darian M. Onchis, Pedro Real |
Abstract |
In this paper, a homotopy-based method is employed for the recovery of speech recordings from missing or corrupted samples taken in a noisy environment. The model for the acquisition device is a compressed sensing scenario using Gabor frames. To recover an approximation of the speech file, we used the basis pursuit denoising method with the homotopy continuation algorithm. We tested the proposed method with various speech recordings. |
Mendeley readers
The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 3 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Professor | 1 | 33% |
Professor > Associate Professor | 1 | 33% |
Unknown | 1 | 33% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 2 | 67% |
Unknown | 1 | 33% |