Next-generation of virtual personal assistants (Microsoft Cortana, Apple Siri, Amazon Alexa and Google Home)

By Veton Këpuska, Gamal Bohouta. 2018

402 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computer Vision and Pattern Recognition, Control and Systems Engineering

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Praneeth Vepakomma
2. Abhishek Singh
3. Ramesh Raskar
4. Hadi Esmaeilzadeh
5. Fatemehsadat Mireshghallah
6. Mohammadkazem Taram
7. Dean M. Tullsen
8. Ali Jalali

In Computer Vision and Pattern Recognition

1. Ramesh Raskar
2. Praneeth Vepakomma
3. Ali Jalali
4. Fatemehsadat Mirshghallah
5. Hadi Esmaeilzadeh
6. Dean M. Tullsen
7. Abhishek Singh
8. Mohammadkazem Taram

In Control and Systems Engineering

1. Ali Jalali
2. Praneeth Vepakomma

Citations in the corpus

• Privacy in Deep Learning: A Survey (2020, background): “, has resulted in their deployment in numerous production systems [1, 2].”
• Privacy-Preserving Adversarial Representation Learning in ASR: Reality or Illusion? (2019, neutral): “With the emergence of pervasive voice assistants [1, 2] like Amazon Alexa, Apple’s Siri and Google Home, voice has become one of the most widespread forms of human-machine interaction.”
• A Principled Approach to Learning Stochastic Representations for Privacy in Deep Neural Inference (2020, background): “The success of deep learning in many areas including vision, recommendation systems, natural language processing, etc., has heralded the adoption of Deep Neural Networks (DNNs) in production systems (Laine et al., 2017; Këpuska & Bohouta, 2018).”