Incorporating Noise Robustness in Speech Command Recognition by Noise Augmentation of Training Data
Clicks: 309
ID: 271447
2020
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This
article has not been analysed, so there is no overall score —
reader engagement is measured and shown alongside.
Reader Engagement
Emerging Content
30.0
/100
309 views
43 readers
AI Quality Assessment
Not analyzed
Readership in this journal
EmergingRanked #514 of 1,694 articles by views in sensors
Most read
Least read
Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 1,694 in total.
Mint this article as an NFT
Not yet mintedCreate a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.
5
SUSD
one-off · no wallet required
Abstract
The advent of new devices, technology, machine learning techniques, and the availability of free large speech corpora results in rapid and accurate speech recognition. In the last two decades, extensive research has been initiated by researchers and different organizations to experiment with new tec …
Abstract Quality Issue:
This abstract appears to be incomplete or contains metadata (44 words).
Try re-searching for a better abstract.
| Reference Key |
a2020sensorsincorporating
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | Pervaiz A;Hussain F;Israr H;Tahir MA;Raja FR;Baloch NK;Ishmanov F;Zikria YB;; |
| Journal | sensors |
| Year | 2020 |
| DOI |
DOI not found
|
| URL | |
| Keywords |
deep learning
neural networks
Computer
National Center for Biotechnology Information
NCBI
NLM
MEDLINE
humans
pubmed abstract
nih
national institutes of health
national library of medicine
machine learning
pmid:32325814
pmc7219662
doi:10.3390/s20082326
ayesha pervaiz
fawad hussain
yousaf bin zikria
noise*
speech perception / physiology
speech recognition software*
|
Citations
No citations found. To add a citation, contact the admin at info@scimatic.org
Comments
No comments yet. Be the first to comment on this article.