| Title |
Exploring convolutional, recurrent, and hybrid deep neural networks for speech and music detection in a large audio dataset
|
|---|---|
| Published in |
EURASIP Journal on Audio, Speech, and Music Processing, June 2019
|
| DOI | 10.1186/s13636-019-0152-1 |
| Authors |
Diego de Benito-Gorron, Alicia Lozano-Diez, Doroteo T. Toledano, Joaquin Gonzalez-Rodriguez |
X Demographics
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 17% |
| Germany | 1 | 17% |
| India | 1 | 17% |
| Switzerland | 1 | 17% |
| France | 1 | 17% |
| Unknown | 1 | 17% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 57 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 9 | 16% |
| Student > Ph. D. Student | 9 | 16% |
| Researcher | 5 | 9% |
| Other | 4 | 7% |
| Student > Doctoral Student | 3 | 5% |
| Other | 7 | 12% |
| Unknown | 20 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 16 | 28% |
| Computer Science | 12 | 21% |
| Arts and Humanities | 2 | 4% |
| Psychology | 2 | 4% |
| Unspecified | 1 | 2% |
| Other | 2 | 4% |
| Unknown | 22 | 39% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 01 April 2020.
All research outputs
#15,175,718
of 25,385,509 outputs
Outputs from EURASIP Journal on Audio, Speech, and Music Processing
#74
of 131 outputs
Outputs of similar age
#190,737
of 367,213 outputs
Outputs of similar age from EURASIP Journal on Audio, Speech, and Music Processing
#1
of 1 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 131 research outputs from this source. They receive a mean Attention Score of 3.0. This one is in the 41st percentile – i.e., 41% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 367,213 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them