Edge Speech Recognition

Edge Speech Recognition is a specialized framework within edge artificial intelligence that enables on-device processing and interpretation of spoken language by leveraging localized computational resources to minimize latency, ensure privacy, and reduce reliance on cloud-based infrastructure.

13

Publications

520

Citations

55

Authors

11

Institutions

Publications per year

2017–2026

12

Authors

55

  1. AW
    Alexander Wong

    University of Waterloo, Canada

    2 publications · 60 citations

    2

    h-index

  2. EE
    Emon Emtiyaz Neon

    North South University, Bangladesh

    1 publications · 57 citations

    1

    h-index

  3. SS
    Sining Sun

    Dalian University of Technology, China

    1 publications · 28 citations

    1

    h-index

  4. VP
    Vineel Pratap

    Meta (Israel), Israel

    1 publications · 24 citations

    1

    h-index

  5. RP
    René Peinl

    Hof University of Applied Sciences, Germany

    1 publications · 12 citations

    1

    h-index

1–5 of 55

Venues

  1. arXiv (Cornell University)

    Repository · 5 publications · 337 citations

    5

    h-index

  2. Electronics

    1 publications · 24 citations

    1

    h-index

  3. Intelligent Systems with Applications

    ISWA · 1 publications · 57 citations

    1

    h-index

  4. Procedia Manufacturing

    1 publications · 12 citations

1–5