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Mendeley readers
Chapter title |
Exploring GMM-derived Features for Unsupervised Adaptation of Deep Neural Network Acoustic Models
|
---|---|
Chapter number | 36 |
Book title |
Speech and Computer
|
Published by |
Springer International Publishing, January 2016
|
DOI | 10.1007/978-3-319-43958-7_36 |
Book ISBNs |
978-3-31-943957-0, 978-3-31-943958-7
|
Authors |
Natalia Tomashenko, Yuri Khokhlov, Anthony Larcher, Yannick Estève |
Editors |
Andrey Ronzhin, Rodmonga Potapova, Géza Németh |
Mendeley readers
The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 13% |
Korea, Republic of | 1 | 13% |
Unknown | 6 | 75% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 2 | 25% |
Researcher | 2 | 25% |
Student > Bachelor | 1 | 13% |
Other | 1 | 13% |
Professor > Associate Professor | 1 | 13% |
Other | 0 | 0% |
Unknown | 1 | 13% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 4 | 50% |
Nursing and Health Professions | 1 | 13% |
Medicine and Dentistry | 1 | 13% |
Engineering | 1 | 13% |
Unknown | 1 | 13% |