| Title |
A summary of the REVERB challenge: state-of-the-art and remaining challenges in reverberant speech processing research
|
|---|---|
| Published in |
EURASIP Journal on Advances in Signal Processing, January 2016
|
| DOI | 10.1186/s13634-016-0306-6 |
| Authors |
Keisuke Kinoshita, Marc Delcroix, Sharon Gannot, Emanuël A. P. Habets, Reinhold Haeb-Umbach, Walter Kellermann, Volker Leutnant, Roland Maas, Tomohiro Nakatani, Bhiksha Raj, Armin Sehr, Takuya Yoshioka |
Mendeley readers
The data shown below were compiled from readership statistics for 130 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | <1% |
| Poland | 1 | <1% |
| Germany | 1 | <1% |
| Unknown | 127 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 31 | 24% |
| Student > Master | 21 | 16% |
| Researcher | 19 | 15% |
| Other | 6 | 5% |
| Professor | 5 | 4% |
| Other | 19 | 15% |
| Unknown | 29 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 46 | 35% |
| Computer Science | 39 | 30% |
| Arts and Humanities | 4 | 3% |
| Neuroscience | 3 | 2% |
| Economics, Econometrics and Finance | 1 | <1% |
| Other | 5 | 4% |
| Unknown | 32 | 25% |