Name
Abstract | ||
|---|---|---|
The field of Adversarial Machine Learning (AML) has emerged due to the rapid development of the machine learning field. The goal of an adversarial attack is to fool a machine learning model into giving false or manipulated results. In today’s world, speech is not only limited to humans, but machines also capture and process it. Nowadays, machines can "speak" and "hear" human languages. Quite a num... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/MWSCAS47672.2021.9531787 | 2021 IEEE International Midwest Symposium on Circuits and Systems (MWSCAS) |
Keywords | DocType | ISSN |
Atmospheric modeling,Virtual assistants,Perturbation methods,Speech recognition,Classification algorithms,Speech processing,Mel frequency cepstral coefficient | Conference | 1548-3746 |
ISBN | Citations | PageRank |
978-1-6654-2461-5 | 0 | 0.34 |
References | Authors | |
0 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Rohin Nanavati | 1 | 0 | 0.34 |
| Sarathi Shah | 2 | 0 | 0.34 |
| Manjunath Joshi | 3 | 0 | 0.34 |