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.
AI Quality Assessment
Not analyzed
Readership in this journal
Emerging

Ranked #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 minted

Create 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 …
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

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

No comments yet. Be the first to comment on this article.