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 |
Speech Enhancement with LSTM Recurrent Neural Networks and its Application to Noise-Robust ASR
|
---|---|
Chapter number | 11 |
Book title |
Latent Variable Analysis and Signal Separation
|
Published by |
Springer, Cham, August 2015
|
DOI | 10.1007/978-3-319-22482-4_11 |
Book ISBNs |
978-3-31-922481-7, 978-3-31-922482-4
|
Authors |
Felix Weninger, Hakan Erdogan, Shinji Watanabe, Emmanuel Vincent, Jonathan Le Roux, John R. Hershey, Björn Schuller, Weninger, Felix, Erdogan, Hakan, Watanabe, Shinji, Vincent, Emmanuel, Le Roux, Jonathan, Hershey, John R., Schuller, Björn |
Mendeley readers
The data shown below were compiled from readership statistics for 156 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Spain | 1 | <1% |
United States | 1 | <1% |
Poland | 1 | <1% |
Unknown | 153 | 98% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 35 | 22% |
Student > Ph. D. Student | 31 | 20% |
Researcher | 22 | 14% |
Student > Bachelor | 11 | 7% |
Student > Doctoral Student | 6 | 4% |
Other | 17 | 11% |
Unknown | 34 | 22% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 61 | 39% |
Engineering | 42 | 27% |
Economics, Econometrics and Finance | 3 | 2% |
Neuroscience | 3 | 2% |
Psychology | 2 | 1% |
Other | 6 | 4% |
Unknown | 39 | 25% |