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X Demographics
Mendeley readers
| Title |
Real-Time Speech Emotion Recognition Using a Pre-trained Image Classification Network: Effects of Bandwidth Reduction and Companding
|
|---|---|
| Published in |
Frontiers in Computer Science, May 2020
|
| DOI | 10.3389/fcomp.2020.00014 |
| Authors |
Margaret Lech, Melissa Stolar, Christopher Best, Robert Bolia |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 133 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 133 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 17 | 13% |
| Student > Master | 14 | 11% |
| Student > Ph. D. Student | 12 | 9% |
| Researcher | 11 | 8% |
| Lecturer > Senior Lecturer | 4 | 3% |
| Other | 10 | 8% |
| Unknown | 65 | 49% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 38 | 29% |
| Engineering | 13 | 10% |
| Business, Management and Accounting | 3 | 2% |
| Physics and Astronomy | 2 | 2% |
| Nursing and Health Professions | 1 | <1% |
| Other | 8 | 6% |
| Unknown | 68 | 51% |