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Timeline
X Demographics
Mendeley readers
Title |
DeepSpectrumLite: A Power-Efficient Transfer Learning Framework for Embedded Speech and Audio Processing From Decentralized Data
|
---|---|
Published in |
Frontiers in Artificial Intelligence, March 2022
|
DOI | 10.3389/frai.2022.856232 |
Pubmed ID | |
Authors |
Shahin Amiriparian, Tobias Hübner, Vincent Karas, Maurice Gerczuk, Sandra Ottl, Björn W. Schuller |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 20% |
Switzerland | 1 | 20% |
Unknown | 3 | 60% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 40% |
Scientists | 2 | 40% |
Practitioners (doctors, other healthcare professionals) | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 34 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Unspecified | 4 | 12% |
Lecturer > Senior Lecturer | 3 | 9% |
Student > Bachelor | 3 | 9% |
Student > Master | 3 | 9% |
Student > Doctoral Student | 2 | 6% |
Other | 6 | 18% |
Unknown | 13 | 38% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 10 | 29% |
Unspecified | 4 | 12% |
Engineering | 3 | 9% |
Linguistics | 2 | 6% |
Medicine and Dentistry | 1 | 3% |
Other | 0 | 0% |
Unknown | 14 | 41% |