| Title |
Noisy training for deep neural networks in speech recognition
|
|---|---|
| Published in |
EURASIP Journal on Audio, Speech, and Music Processing, January 2015
|
| DOI | 10.1186/s13636-014-0047-0 |
| Authors |
Shi Yin, Chao Liu, Zhiyong Zhang, Yiye Lin, Dong Wang, Javier Tejedor, Thomas Fang Zheng, Yinguo Li |
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 % |
|---|---|---|
| Unknown | 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 88 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 1% |
| France | 1 | 1% |
| Unknown | 86 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 17 | 19% |
| Student > Master | 14 | 16% |
| Researcher | 9 | 10% |
| Professor > Associate Professor | 6 | 7% |
| Student > Bachelor | 4 | 5% |
| Other | 12 | 14% |
| Unknown | 26 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 30 | 34% |
| Engineering | 14 | 16% |
| Mathematics | 3 | 3% |
| Arts and Humanities | 2 | 2% |
| Agricultural and Biological Sciences | 1 | 1% |
| Other | 9 | 10% |
| Unknown | 29 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 13. 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 11 February 2023.
All research outputs
#2,759,519
of 25,371,288 outputs
Outputs from EURASIP Journal on Audio, Speech, and Music Processing
#5
of 131 outputs
Outputs of similar age
#37,663
of 359,935 outputs
Outputs of similar age from EURASIP Journal on Audio, Speech, and Music Processing
#1
of 3 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 131 research outputs from this source. They receive a mean Attention Score of 3.0. This one has done particularly well, scoring higher than 96% of its peers.
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 359,935 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% of its contemporaries.
We're also able to compare this research output to 3 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